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Engineering Manager
## Engineering Manager **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 10–15 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About the Role We are looking for an Engineering Manager to lead the teams building and running the core platform behind Bluecopa's finance operations product. The platform handles data processing, automation, and finance workflows at scale, and this role is responsible for its delivery, reliability, and continued evolution. This is a technically engaged leadership role. You will lead backend, frontend, and platform engineers while staying close to architecture, technical design, code quality, and operational reliability. You should have enough depth across the stack to guide decisions and evaluate trade-offs, without needing hands-on expertise in every technology. You will work with product managers, designers, and finance domain experts to translate finance workflows into product capabilities, and you will be accountable for both engineering outcomes and the growth and effectiveness of your team. --- ## Key Responsibilities ### Technical Leadership * Own the architecture, development, delivery, and reliability of key product capabilities. * Provide technical direction through architecture reviews, design discussions, code reviews, and production troubleshooting. * Guide the development of APIs, microservices, user-facing applications, and event-driven systems that scale reliably. * Translate finance workflows, accounting requirements, and control expectations into reliable technical designs. * Establish standards for code quality, security, testing, performance, observability, accessibility, and production readiness, enforcing them through design and code reviews. * Improve CI/CD, release practices, incident management, and operational excellence across Kubernetes-based environments. * Guide teams through complex technical decisions with sufficient depth across the stack to evaluate trade-offs and set pragmatic standards without becoming a bottleneck. * Manage technical risks and dependencies while protecting long-term platform health. * Contribute to broader engineering strategy and architecture decisions. ### Team Leadership * Lead, mentor, and grow a high-performing team of backend, frontend, and platform engineers. * Hire effectively, conduct performance reviews, and create meaningful growth paths for engineers. * Break down product and platform goals into clear, well-sequenced workstreams. * Assign work based on team strengths, development goals, and delivery priorities. * Make timely technical and prioritization decisions, including under ambiguity or incomplete information. * Own trade-off decisions between speed, scope, and long-term maintainability, communicating the reasoning clearly. * Set clear expectations, give direct and actionable feedback, and support career growth for senior engineers. * Build a culture of ownership, collaboration, and accountability. * Onboard new engineers and reduce ramp-up time through documentation and mentoring. ### Cross-Functional Collaboration * Partner with product managers, designers, and finance domain experts to scope and deliver product capabilities. * Work directly with finance stakeholders to understand accounting requirements, audit controls, and workflow expectations. * Manage delivery commitments, priorities, and dependencies across engineering, product, design, finance, and business teams. * Translate product and finance requirements into technical specifications the team can execute against. * Investigate and resolve production issues raised by customers and internal teams, driving them to root cause rather than one-off fixes. * Align the team around common product objectives and keep everyone aware of how their work connects to customer outcomes. * Communicate progress, risks, and technical constraints to stakeholders at the right level of detail. * Represent the team in roadmap, strategy, and architecture discussions. --- ## 30–60–90 Day Goals * **First 30 Days — Learn & Stabilize:** Understand the platform architecture, the major product areas it supports, and the current state of code quality, delivery, and production reliability. Meet every engineer, plus product, design, and finance stakeholders; understand strengths, priorities, pain points, and in-flight commitments. * **By 60 Days — Own & Improve:** Take full ownership of delivery, reliability, and technical direction; tighten standards for code review, testing, observability, and production readiness. Close the most pressing delivery and reliability gaps, with RCAs and corrective actions tracked to closure on every major incident. Set clear expectations with each engineer through regular one-on-ones and growth plans. * **By 90 Days — Scale & Lead:** Run delivery predictably — commitments scoped realistically, risks raised early, releases shipping on schedule. Have a clear technical roadmap covering platform health, technical debt, and AI capability investments, plus a hiring plan in motion. Report progress, risks, and reliability metrics to stakeholders on a regular cadence. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **10–15 years** of software engineering experience, including significant experience managing engineering teams. * Proven experience building and scaling products in a startup or high-growth product company. * Experience leading multidisciplinary teams across backend, frontend, and platform engineering. * Strong track record of delivering complex, production-grade systems from design through operation. * Experience hiring, mentoring, managing performance, and developing senior engineers. * Familiarity with backend technologies including **Java (Spring Boot), Python (Flask)**, and **Node.js**, and frontend development using **Svelte, React**, and **TypeScript**. * Strong understanding of microservices, distributed systems, REST APIs, event-driven architecture, and integration patterns. * Working knowledge of **NATS** or comparable messaging systems, **Kubernetes, Docker**, CI/CD, and cloud platforms. * Understanding of relational data, security, scalability, resilience, observability, and production operations. * Experience building finance or accounting products, with working knowledge of R2R, O2C, P2P, financial close, reconciliations, General Ledger, AP, AR, and journal entries. * Understanding of audit controls and ERP or source-to-ledger integrations, with comfort working directly with finance stakeholders. * Ability to operate effectively in ambiguity and collaborate across engineering, product, design, finance, and business teams. ### Preferred Qualifications * Experience applying AI or machine learning to finance operations or similar enterprise workflows. * Hands-on exposure to the AI development lifecycle — data preparation, prompt and model development, evaluation frameworks, deployment, monitoring, and continuous iteration of LLM-based or agentic features. * Understanding of AI alignment and guardrails in production systems — ensuring AI-driven outputs remain accurate, auditable, and traceable, with human-in-the-loop review, controlled approvals, and clear escalation paths where AI acts on financial data. * Experience building enterprise SaaS or finance automation products. * Experience integrating with ERP ecosystems. * Experience with **OpenTelemetry** for distributed tracing, metrics, and observability. * Knowledge of **OpenLineage** or similar data-lineage frameworks. * Experience with cloud platforms (**AWS, GCP**, or **Azure**). --- ## Skills & Competencies ### Technical Skills * Backend: Java (Spring Boot), Python (Flask), Node.js * Frontend: Svelte, React, TypeScript * Microservices, REST APIs, and event-driven architecture * Messaging systems (NATS or comparable) * Kubernetes, Docker, and cloud-native architecture * CI/CD, release management, and incident management * Observability: metrics, logging, and distributed tracing * System design and architectural decision-making ### Domain Knowledge * Finance operations: R2R, O2C, P2P, financial close, and reconciliations * General Ledger, AP, AR, and journal entries * Audit controls and ERP or source-to-ledger integrations * Accurate, auditable, and traceable data with controlled approvals, exceptions, and reprocessing * Clear, role-based workflows for reviewing high-volume data and taking action ### Leadership Skills * Team building, hiring, and people management * Performance management and career development for senior engineers * Decision-making under pressure and with incomplete information * Setting direction and aligning teams toward common product goals * Delegation and workload balancing * Coaching, mentoring, and direct, honest feedback * Conflict resolution and consensus building * Stakeholder communication across engineering, product, design, finance, and business --- ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Ownership of a critical area of the product and the team behind it * Professional development and learning opportunities * Collaborative and innovative work environment * Health and wellness benefits --- *We are an equal opportunity employer committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Sr QA Engineer - NFR & Performance
## Senior QA Engineer – NFR & Performance **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 4–5 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About Bluecopa Bluecopa is an innovative finance operations automation platform that empowers modern finance teams to streamline operations, automate reconciliations, and gain real-time business insights. We're redefining how finance teams operate by bringing together technology, data, and financial expertise into a seamless product experience. We are a fast-growing fintech backed by top-tier investors, serving high-growth companies with complex financial workflows. If you're passionate about transforming the quality and reliability of finance technology, Bluecopa is the place to be. --- ## Position Overview We are seeking a QA Engineer specializing in Non-Functional Testing to own performance, scalability, and resilience quality for the Bluecopa platform — a multi-tenant SaaS product running on Kubernetes. This role is not about validating features; it is about proving how the platform behaves under load, at scale, and in failure: sustained and peak traffic, large data volumes, concurrent tenants, pod restarts, autoscaling events, and degraded infrastructure. The ideal candidate thinks in terms of throughput, latency, saturation, and failure modes rather than test cases — designing load models that mirror real production traffic, root-causing bottlenecks across the application, database, and Kubernetes layers, and turning findings into measurable NFR benchmarks the engineering team can hold releases to. You'll work closely with developers, DevOps/SRE, and fellow QA engineers to make scalability and reliability data-driven decisions, not guesswork. --- ## Key Responsibilities ### Performance & Load Testing * Design, develop, and execute performance, load, stress, soak/endurance, spike, and scalability test plans for the platform's APIs, data pipelines, and heavy workflows. * Build and maintain performance test scripts and reusable load models using tools such as **JMeter, k6, Gatling**, or **LoadRunner**. * Define NFR benchmarks, SLAs/SLOs, and pass/fail acceptance criteria per release in collaboration with engineering and product teams. * Simulate realistic production traffic patterns — multi-tenant concurrency, peak-load windows, and business-critical finance scenarios such as period close and high-volume reconciliations. ### Scalability & Resilience on Kubernetes * Validate platform behavior in **Kubernetes** under real operating conditions: horizontal pod autoscaling, rolling deployments under load, pod evictions and restarts, node failures, and resource limit/request boundaries. * Test resilience and recovery — fault injection, dependency outages, connection-pool and queue saturation, and graceful degradation — and verify the platform contains and recovers from failures. * Verify multi-tenant isolation under load: one tenant's heavy usage must not degrade performance or correctness for others. * Assess capacity headroom and scaling limits of containerized services, and validate that autoscaling policies hold up against projected growth. ### Monitoring, Analysis & Capacity Planning * Monitor and analyze system resource utilization (CPU, memory, I/O, network) at the pod, node, and cluster level during test execution using APM and observability tools (**Grafana, Prometheus, New Relic, Datadog, AppDynamics**). * Identify bottlenecks across application, database, and infrastructure layers, and drive them to root cause with engineering rather than one-off fixes. * Conduct capacity planning analysis to forecast infrastructure needs based on projected growth and usage patterns. * Verify observability coverage — that the metrics, logs, and alerts needed to detect the failure and saturation scenarios uncovered in testing actually exist. ### Continuous Validation & Reporting * Integrate performance and resilience test suites into **CI/CD pipelines** (**Jenkins, GitHub Actions, GitLab CI**, or similar) to catch regressions before release. * Produce clear, actionable performance reports with metrics, trends, and recommendations for engineering and product stakeholders. * Collaborate with developers and DevOps to tune application configurations, caching strategies, database queries, and Kubernetes resource settings for optimal performance. * Participate in architecture and design discussions to proactively flag performance and scalability risks before they are built. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **4–5 years** of hands-on QA experience with a demonstrated focus on non-functional testing — performance, load, scalability, and resilience — of SaaS or distributed platforms. * Proven expertise in performance testing tools such as **JMeter, k6, Gatling**, or **LoadRunner**, including building load models from real traffic patterns. * Strong understanding of NFR concepts — load, stress, soak/endurance, spike, scalability, and resilience testing — and how to set measurable acceptance criteria for each. * Working knowledge of **Kubernetes** and containerized environments: how pods, autoscaling, resource limits, and deployments behave under load, and how to test against them. * Experience analyzing system performance with APM and observability tools (**Grafana, Prometheus, New Relic, Datadog, AppDynamics**, or similar). * Solid understanding of API behavior under load (REST) and experience testing API performance, concurrency, and rate limiting. * Proficient in **SQL** for backend performance validation — analyzing slow queries and validating data-layer behavior under load. * Working knowledge of at least one programming/scripting language (**Java, JavaScript/TypeScript, Python**, or **Groovy**) for building and customizing test harnesses. * Experience with version control systems (**Git**) and CI/CD tools. ### Preferred Qualifications * Experience with cloud platforms (**AWS, GCP**, or **Azure**) and cloud-native performance testing at the cluster level. * Exposure to chaos engineering and fault-injection tooling (**Litmus, Chaos Mesh, Gremlin**, or similar). * Experience with distributed load generation and cloud-based load testing platforms (e.g., **BlazeMeter, Azure Load Testing**). * Experience load-testing microservices-based and event-driven architectures, including message queues and streaming systems. * Knowledge of database performance tuning, indexing strategies, and query optimization. * Prior experience testing finance, fintech, or enterprise SaaS products. --- ## Skills & Competencies ### Technical Skills * Performance and load testing tools (JMeter, k6, Gatling, LoadRunner) * Kubernetes, Docker, and cloud-native service behavior under load * Resilience, failover, and fault-injection testing * APM and observability tools (Grafana, Prometheus, New Relic, Datadog, AppDynamics) * SQL and database performance analysis * API performance, concurrency, and rate-limit validation * CI/CD pipelines and Git-based workflows * Scripting in Java, JavaScript/TypeScript, Python, or Groovy ### Soft Skills * Strong analytical and root-cause problem-solving mindset * Attention to detail — especially around performance metrics, saturation points, and edge-case load patterns * Clear written and verbal communication, including reporting to non-technical stakeholders * Self-motivated with the ability to work independently * Collaborative team player who partners well with developers and DevOps/SRE * Continuous learning mindset --- ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Professional development and learning opportunities * Flexible work arrangements * Collaborative and innovative work environment * Health and wellness benefits --- *We are an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Principal Engineer - DevOps/Infra
## Principal Engineer - DevOps/Infra **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 8–10 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About Bluecopa Bluecopa is building the world’s first finance operations cloud. We help fast-growing companies streamline their finance operations using modern infrastructure, automation, and intelligent workflows. Join us in transforming how enterprises run their financial back office. --- ## Job Summary We are seeking a seasoned Principal Engineer - DevOps to lead our infrastructure initiatives. This role is designed for a technical leader who thrives in a multifaceted environment. You will serve as a hands-on individual contributor leveraging deep expertise in cloud platforms and infrastructure automation, while simultaneously leading team management and strategic prioritization, and driving client interfacing and requirements analysis. You will play a critical role in ensuring the reliability, scalability, and security of our production systems while aligning technical execution with business objectives. --- ## Key Responsibilities * **Cloud & Infrastructure Management:** Design, build, and manage scalable infrastructure on cloud platforms (**GCP, AWS, Azure**, or **OCI**). * **Kubernetes & Containerization:** Administer and optimize **Kubernetes** clusters and container runtimes (**Docker, containerd**). * **Infrastructure as Code:** Manage infrastructure as code using tools like **Terraform** and/or **Pulumi**. * **CI/CD & Automation:** Develop and maintain CI/CD pipelines for multiple services and environments. Automate operations with **Python** and shell scripting for deployment, monitoring, and maintenance. * **Reliability & Incident Management:** Ensure high availability and performance of production systems, troubleshoot incidents effectively, and participate in on-call rotations and incident response activities. * **Observability & Monitoring:** Monitor system metrics and implement observability best practices using tools like **Prometheus, Grafana**, and **ELK**. * **Networking & Security:** Apply best practices in cloud networking, Linux administration, and configuration management. Support compliance and security audits, and assist with cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening). * **Cross-Functional Collaboration:** Collaborate with development, security, and product teams to align infrastructure with business needs. --- ## What We Are Looking For ### Required Qualifications * **7–10 years** of total experience, with a minimum of 7 years in a full-time DevOps role. * Hands-on experience with at least 2 major cloud platforms (**GCP, AWS, Azure, OCI**); experience with more than 2 is a plus. * Proficient in **Kubernetes** administration and container technologies (**Docker, container**). * Strong Linux fundamentals. * Scripting skills in **Python** and shell scripting. * Mandatory hands-on experience with infrastructure as code (**Terraform** and/or **Pulumi**). * Experience maintaining and troubleshooting production environments. * Solid understanding of CI/CD concepts with hands-on experience in tools like **Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build**, or **Bitbucket Pipelines**. ### Preferred Qualifications (Nice to Have) * Experience with cloud security and SecOps tools (IDS/IPS, SIEM, firewalls). * Familiarity with monitoring and logging tools. * Exposure to **OpenTelemetry** and observability frameworks. * Exposure to cost optimization in cloud environments. * Experience working in fast-paced startup environments.
Lead QA – Platform
## Lead QA – Platform **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 7–8 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About Bluecopa Bluecopa is an innovative finance operations automation platform that empowers modern finance teams to streamline operations, automate reconciliations, and gain real-time business insights. We're redefining how finance teams operate by bringing together technology, data, and financial expertise into a seamless product experience. We are a fast-growing fintech backed by top-tier investors, serving high-growth companies with complex financial workflows. If you're passionate about transforming the quality and reliability of finance technology, Bluecopa is the place to be. --- ## Position Overview We are seeking an experienced Lead QA – Platform to own the quality of the Bluecopa platform beyond the happy path. While our Lead QA – Functional focuses on validating business use cases and functional correctness, this role is accountable for everything that surrounds and stress-tests those use cases: negative testing, edge cases and boundary conditions, complex end-to-end workflows, non-functional requirements (NFRs), quality governance, and the integrity of data connectors and data management across the platform. The ideal candidate thinks adversarially about software — deliberately probing how the platform behaves with malformed inputs, boundary data, failure injections, concurrency conflicts, and broken integrations — and builds the frameworks, standards, and governance to make that rigor repeatable. You'll partner closely with engineering leadership, product managers, platform engineers, and the functional QA team to ensure the platform is not only correct, but resilient, performant, and trustworthy with customer data at scale. --- ## Key Responsibilities ### Negative Testing, Edge Cases & Boundary Analysis * Own the negative testing strategy for the platform — systematically design test scenarios for invalid inputs, malformed payloads, unauthorized operations, out-of-sequence actions, and failure paths across UI, API, and data layers. * Drive edge case and boundary value analysis for business-critical logic: numeric precision and rounding, currency and locale boundaries, date/time and timezone edges, fiscal period cutoffs, empty/null/duplicate data, and extreme data volumes. * Define data boundary test suites that validate field-level limits, schema constraints, data type coercions, truncation behavior, and precision handling across ingestion, transformation, and reporting layers. * Build and maintain a reusable catalog of negative and edge-case test patterns that functional QA and engineering teams can apply consistently across features. * Test error handling, validation messaging, graceful degradation, and recovery behavior — ensuring failures are contained, observable, and actionable. ### Workflow & Platform Testing * Design and execute end-to-end tests for complex, multi-step finance workflows — including branching paths, approvals, retries, rollbacks, partial failures, and long-running or scheduled processes. * Validate workflow state management: interrupted executions, concurrent edits, idempotency of re-runs, orphaned states, and correctness of workflow versioning and migrations. * Test cross-module interactions and integration seams where workflows span connectors, data pipelines, calculations, and reporting. ### Data Connectors & Data Management * Own quality for the platform's data connectors and integrations — validating authentication, sync behavior (full/incremental), schema drift handling, pagination, rate limits, retries, and failure recovery for each connector. * Perform deep data validation across pipelines: source-to-target reconciliation, transformation correctness, deduplication, ordering guarantees, and data completeness/accuracy checks using complex **SQL**. * Test data lifecycle behaviors — backfills, re-syncs, deletes/archival, data corrections, and their downstream impact on reports and workflows. * Simulate connector failure modes (source downtime, credential expiry, partial payloads, corrupt records) and verify platform resilience and alerting. ### Non-Functional Requirements (NFRs) * Define and own the NFR test strategy — performance, scalability, reliability, concurrency, and resilience — with clear benchmarks and pass/fail criteria per release. * Conduct performance and load testing (**JMeter, k6, Gatling**, or similar) on APIs, data pipelines, and heavy workflows; identify bottlenecks and regressions early. * Validate security-adjacent quality concerns: access control and role boundaries, tenant data isolation, input sanitization, and audit trail completeness. * Verify observability requirements — logging, alerting, and monitoring coverage for failure scenarios uncovered in testing. ### Quality Governance & Leadership * Establish quality governance for the platform: entry/exit criteria, quality gates in CI/CD, release sign-off standards, risk-based test prioritization, and defect severity/SLA policies. * Define and track quality metrics — escaped defects, negative-path coverage, NFR compliance, connector reliability — and report them to engineering and product leadership. * Ensure test evidence, traceability, and documentation practices support audit readiness and compliance expectations of enterprise finance customers. * Lead and mentor QA engineers on negative testing, boundary analysis, and platform testing techniques; raise the bar for adversarial test design across the organization. * Partner with the Lead QA – Functional to ensure clear ownership boundaries, shared frameworks, and complete combined coverage of functional and platform quality. * Integrate automated negative, boundary, and NFR test suites into **CI/CD pipelines** (**Jenkins, GitHub Actions, GitLab CI**, or similar) for continuous validation. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **7–8 years** of hands-on experience in software quality assurance, with demonstrated depth in negative testing, edge case discovery, and boundary value analysis — including experience leading or mentoring QA engineers. * Proven experience testing complex workflows and platform/infrastructure-level behavior — not just feature-level functional validation. * Strong experience testing data integrations, connectors, or ETL/data pipelines, including source-to-target reconciliation and schema/contract validation. * Expert-level **SQL** — complex queries, joins, and analytical queries for large-scale backend data validation. * Solid understanding of API testing (REST/SOAP) with hands-on experience in **Postman, REST Assured**, or similar — including negative and contract testing of APIs. * Hands-on experience with NFR testing: performance/load testing tools (**JMeter, k6, Gatling**) and defining measurable non-functional acceptance criteria. * Proven expertise in test automation using **Playwright** or **Selenium WebDriver**, with strong programming skills in **Java, JavaScript/TypeScript**, or **Python**. * Experience establishing QA governance — quality gates, release criteria, test standards, and metrics-driven reporting. * Experience with version control (**Git**), CI/CD tools, and Agile/Scrum practices with **JIRA, TestRail**, or **Zephyr**. * Finance domain experience: hands-on testing of systems in accounting, close automation, reconciliation, or related financial processes — with the judgment to know where financial data can silently go wrong. ### Preferred Qualifications * Experience testing microservices-based, event-driven, or multi-tenant SaaS architectures. * Knowledge of data warehousing and pipeline tools (**Snowflake, BigQuery, dbt, Informatica, Talend**, or similar). * Exposure to chaos engineering, fault injection, or resilience testing practices. * Familiarity with contract testing (**Pact** or similar) and schema validation tooling. * Familiarity with cloud platforms (**AWS, GCP**, or **Azure**) and containerization (**Docker, Kubernetes**). * Understanding of compliance and audit expectations for enterprise finance software (e.g., SOC 2, audit trails). * Prior experience testing finance, fintech, or enterprise SaaS products. * **ISTQB** or equivalent QA certification. --- ## Skills & Competencies ### Technical Skills * Negative testing, edge case design, and boundary value analysis * Workflow, integration, and platform-level testing * Data connector, ETL, and data reconciliation testing * NFR testing — performance, load, resilience, and concurrency * Test automation frameworks (Playwright, Selenium, or equivalent) * API and contract testing (Postman, REST Assured, or similar) * Expert SQL and relational databases * CI/CD pipelines, quality gates, and Git-based workflows * Finance domain knowledge — accounting, close automation, or reconciliation workflows ### Leadership Skills * Quality governance definition and enforcement * Test strategy and NFR roadmap ownership * Team leadership and mentoring in advanced test design * Stakeholder management across engineering, product, and functional QA * Risk-based prioritization and metrics-driven quality reporting ### Soft Skills * Adversarial, break-it-first mindset with strong analytical rigor * Exceptional attention to detail — especially around data correctness, boundaries, and failure modes * Clear written and verbal communication, including quality reporting to leadership * Self-motivated with the ability to work independently * Collaborative team player with strong mentoring capabilities * Continuous learning mindset --- ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Professional development and learning opportunities * Flexible work arrangements * Collaborative and innovative work environment * Health and wellness benefits --- *We are an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Senior Engineer - SRE/DevOps
## Senior Engineer - SRE/DevOps **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 4–7 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About the Role We are seeking an experienced Senior SRE/DevOps Engineer to build and operate the cloud infrastructure that powers our finance operations platform. This is a hands-on role at the heart of the infrastructure team — designing scalable multi-cloud environments, administering production Kubernetes clusters, automating everything that can be automated, and keeping our systems reliable, observable, and secure. You will own problems end-to-end, from infrastructure design through incident response, and work closely with development, security, and product teams to make sure infrastructure keeps pace with a fast-growing product. --- ## Key Responsibilities ### Infrastructure & Cloud Platforms * Design, build, and manage scalable infrastructure on major cloud platforms (**GCP, AWS, Azure**, or **OCI**). * Administer, optimize, and troubleshoot **Kubernetes** clusters and container runtimes (**Docker, containerd**). * Manage infrastructure as code using **Terraform** and/or **Pulumi**, keeping environments consistent, versioned, and reproducible. * Apply best practices in cloud networking, Linux administration, and configuration management. ### Automation & CI/CD * Develop and maintain CI/CD pipelines for multiple services and environments. * Automate deployment, monitoring, and maintenance operations using **Python** and shell scripting. * Drive infrastructure-as-code adoption and engineering hygiene across environments. ### Reliability & Observability * Ensure high availability and performance of production systems, and troubleshoot incidents to root cause rather than one-off fixes. * Monitor system metrics and implement observability best practices using tools like **Prometheus, Grafana**, and **ELK**. * Participate in on-call rotations and incident response activities, contributing to RCAs and preventive improvements. ### Security & Collaboration * Support compliance and security audits, and assist with implementation of cloud security measures (firewalls, IDS/IPS, IAM hardening). * Collaborate with development, security, and product teams to align infrastructure with business needs. * Document infrastructure, runbooks, and operational procedures so knowledge is shared, not siloed. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **4–7 years** of total experience, with a minimum of 4 years in a full-time DevOps role. * Hands-on experience with at least 2 major cloud platforms (**GCP, AWS, Azure, OCI**); more than 2 is a plus. * Proficiency in **Kubernetes** administration and container technologies (**Docker, containerd**). * Strong Linux fundamentals. * Scripting skills in **Python** and shell scripting. * Hands-on experience with infrastructure as code using **Terraform** and/or **Pulumi** (mandatory). * Experience maintaining and troubleshooting production environments. * Solid understanding of CI/CD concepts with hands-on experience in tools like **Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build**, or **Bitbucket Pipelines**. ### Preferred Qualifications * Experience with cloud security and SecOps tools (IDS/IPS, SIEM, firewalls). * Familiarity with monitoring and logging tools. * Exposure to **OpenTelemetry** and observability frameworks. * Exposure to cost optimization in cloud environments. * Experience working in fast-paced startup environments. --- ## Skills & Competencies ### Technical Skills * Cloud platforms: GCP, AWS, Azure, OCI (any two or more) * Kubernetes administration, Docker, and containerd * Infrastructure as code: Terraform, Pulumi * CI/CD tooling: Jenkins, GitLab CI, GitHub Actions, ArgoCD, and similar * Python and shell scripting for automation * Observability: Prometheus, Grafana, ELK * Linux administration, cloud networking, and configuration management * Cloud security fundamentals: firewalls, IDS/IPS, IAM hardening ### Professional Skills * High ownership and accountability for production systems * Structured troubleshooting and incident management under pressure * Clear communication with technical and non-technical stakeholders * Collaboration across development, security, and product teams * Comfort with ambiguity and fast-changing priorities --- ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Ownership of critical infrastructure that powers the product * Professional development and learning opportunities * Flexible work arrangements * Collaborative and innovative work environment * Health and wellness benefits --- *We are an equal opportunity employer committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Lead QA - Functional
## Lead QA - Functional **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 7–8 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About Bluecopa At Bluecopa, we are building a finance operations platform for high-growth companies. We help finance teams automate their work — reconciliations, close processes, reporting — and see their business numbers in real time. We are a fast-growing, product-focused team working on systems where correctness matters: the numbers we show customers drive real financial decisions. If you care about software that is reliably right, not just mostly working, we would like to talk to you. --- ## About the Role As QA Lead, you will own quality across the Bluecopa platform. This is a hands-on role: you will write and review automated tests, build and maintain the automation framework, and lead a team of QA engineers. Your success will be measured on three things: how few defects reach production, how quickly the team can test and sign off a release, and how much of that testing runs automatically without anyone doing it by hand. --- ## What You Will Do ### Test Strategy and Quality Ownership * Own the QA strategy and roadmap, keeping it aligned with what engineering and product are building each quarter. * Decide what gets tested, how, and to what depth — so that releases go out on schedule with known, acceptable risk rather than guesswork. * Set testing standards and processes for the whole team, ensuring they are followed through reviews and regular audits of test quality. * Represent QA in code reviews, sprint planning, and design discussions, catching quality problems in design rather than after release. ### Test Automation * Build and maintain end-to-end automated test suites for the Bluecopa web platform using **Playwright** (or **Selenium**), covering core customer workflows. * Own the automation framework — keep it reusable, stable, and easy to extend so that adding tests for new features takes hours, not days, and failing tests indicate real bugs rather than flaky scripts. * Grow automation coverage steadily to shrink manual regression testing down to a streamlined pipeline run. ### API and Data Testing * Build API test suites (using **Postman, REST Assured**, or similar) integrated into the automation pipeline to catch contract and behaviour changes early. * Validate backend data with **SQL** — write complex queries to prove the numbers shown in the product match the source database. * Test data pipelines, transformations, and warehouse loads powering finance workflows to catch inaccuracies before month-end closes. ### Release Quality and Defect Management * Run functional, regression, integration, and exploratory testing across the development cycle. * Own defect management end to end — identify issues, document them clearly, prioritize them with engineering, and track them to resolution. * Integrate automated tests into **CI/CD pipelines** (**Jenkins, GitHub Actions, GitLab CI**, or similar) so every build is validated before shipping. ### Finance Domain Testing * Apply domain knowledge (accounting, close automation, reconciliation) to design test scenarios that validate business logic accuracy. * Partner with product managers and finance experts to translate real customer workflows into robust test cases. ### Team Leadership * Lead and mentor a team of QA engineers through reviews, pairing, and clear standards, empowering them to own technical areas independently. * Plan sprint work predictably, balancing feature testing with ongoing framework and automation enhancements. * Collaborate with engineering leads and product managers to allocate quality efforts effectively and unblock release risks. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **7–8 years** of hands-on software quality assurance experience with a strong focus on test automation, including experience leading or mentoring QA engineers. * Proven, hands-on skill with **Playwright** or **Selenium WebDriver** maintaining scalable test suites. * Experience designing and building automation frameworks (**Page Object Model, BDD, Data-Driven**, or **Hybrid**). * Strong **SQL** skills to write complex queries and joins for backend data validation. * Solid API testing experience (REST/SOAP) using tools like **Postman** or **REST Assured**. * Proficiency in programming languages such as **Java, JavaScript/TypeScript, Python**, or **C#**. * Hands-on experience with **Git** and **CI/CD** integration tools. * Familiarity with Agile/Scrum methodologies and tools like **JIRA, TestRail**, or **Zephyr**. * Direct experience testing finance domain systems (accounting, close automation, reconciliation) with an understanding of core business logic. * Demonstrated track record of leading QA teams, driving process improvements, and elevating organizational quality standards. ### Nice to Have * ETL testing experience — validating data extraction, transformation, and loading. * Knowledge of data warehousing tools (Informatica, Talend, SSIS, or similar). * Experience testing microservices and event-driven architectures. * Performance testing experience using **JMeter, k6**, or **Gatling**. * Familiarity with cloud platforms (**AWS, GCP, Azure**) and containerization (**Docker, Kubernetes**). * Prior experience testing finance, fintech, or enterprise SaaS products. * **ISTQB** or equivalent QA certification. --- ## What Success Looks Like * **In 90 days:** You know the product's highest-risk areas, have set up a regular test-review and defect-triage process, and have picked the top three automation gaps to close first. * **In 6 months:** Regression testing for a release runs mostly through automation, release sign-off is faster than before, and defect counts in production are tracked and trending down. * **In 12 months:** Releases ship on a predictable schedule with few surprises, the automation framework covers the workflows customers rely on most, and the team you have built finds problems before customers do. --- ## What We Offer * Competitive compensation * Learning and professional development support * Flexible work arrangements * Health and wellness benefits --- *We are an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Tech Lead — Platform Engineering
## Tech Lead — Platform Engineering **Location:** Hyderabad (Work from Office) | **Type:** Full-time, 5 days a week | **Experience:** 8–10 years --- ## About Bluecopa At Bluecopa, we are building a finance operations platform for high-growth companies. We help finance teams automate their work, analyse their data, and make decisions faster. We are a small, product-focused team working on hard data and platform problems. If you like building backend systems that stay reliable at scale and leading a team that ships well, we would like to talk to you. --- ## About the Role As Tech Lead for Platform Engineering, you will lead the team that builds and runs the backend services and workflows at the core of Bluecopa's platform. This is a hands-on role: you will write code, review designs, make the architecture calls for your area, and guide a team of backend engineers working across Java and Python. Your success will be measured on three things: how reliably your team's services run in production, how predictably the team delivers against product goals, and how quickly recurring customer needs turn into platform capabilities instead of one-off fixes. --- ## What You Will Do ### Platform Architecture and Development * Own the technical design and architecture for your team's services and modules, and make sure they hold up as the platform grows. * Design, build, and maintain scalable backend services using **Java (Spring Boot)** and **Python (Flask, Pandas, PyArrow)**. * Build reliable, long-running workflows using **Temporal** and **Argo Workflows**, so that multi-step jobs finish correctly, recover from failures, and can be traced when something goes wrong. * Set clear standards for code quality, testing, and documentation, and hold the team to them through design and code reviews. * Troubleshoot and fix complex production issues across distributed services, and drive them to root cause rather than patching symptoms. * Work with the SRE and DevOps teams on releases and deployments, making sure your team's services are release-ready, well-instrumented, and easy to operate. * Keep CI/CD and engineering hygiene strong within the team, so shipping stays fast and safe. ### Team Leadership * Lead, mentor, and grow a team of backend engineers through one-on-ones, direct feedback, code reviews, and pairing. * Break product goals down into clear, well-sequenced technical workstreams, and assign work based on team strengths, growth goals, and delivery priorities. * Make timely technical and prioritization decisions, including when the information is incomplete, and explain your reasoning clearly. * Own the trade-offs between speed, scope, and long-term maintainability, and make sure the team understands why a call was made. * Unblock the team: resolve dependencies, escalate early, and remove friction before it slows delivery. * Build a culture of ownership, collaboration, and accountability, and reduce ramp-up time for new engineers through documentation and pairing. ### Working Across Teams * Partner with product managers to shape scope, estimate effort, and set timelines the team can actually meet. * Turn product requirements into technical specifications the team can execute against without guesswork. * Work directly with the customer implementation team to understand deployment-specific needs, and turn recurring requests into platform capabilities rather than repeated one-off work. * Investigate issues raised by implementation teams and fix them at the root, so the same problem does not come back. * Keep the team aligned on common product goals and aware of how their work connects to them. * Work with SRE, DevOps, QA, and UI teams to deliver features end to end. * Communicate progress, risks, and technical constraints to stakeholders at the right level of detail, and represent your team in roadmap and architecture discussions. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **8–10 years** of software development experience, including experience leading or mentoring engineers. * Strong hands-on skills in either **Java** or **Python**, with working proficiency in the other. * Production experience with **Spring Boot** (if Java is primary) or **Flask** (if Python is primary). * Hands-on experience with **Pandas** and **PyArrow** for data processing. * Hands-on experience with a workflow orchestration engine such as **Temporal** or **Argo Workflows**. * Working knowledge of **Kubernetes** — enough to design services that deploy cleanly and to work well with SRE. * Strong grasp of microservices architecture and **RESTful API** design, along with a good understanding of the web technology stack. * Familiarity with **Docker, Git**, and sensible branching strategies. * Track record of making sound technical decisions and defending them with clear reasoning. * History of delivering complex projects with a team — systems you can point to that shipped and ran well. ### Nice to Have * Experience with **Ibis** for portable dataframe expressions across backends. * Experience with **OpenTelemetry** for distributed tracing and metrics. * Working knowledge of a major cloud platform (**AWS, GCP, or Azure**). * Experience with both SQL and NoSQL databases. * Familiarity with agile methods and running agile ceremonies. * Experience working with customer-facing or implementation teams. * Experience hiring and interviewing engineers. * Time spent in a SaaS or product engineering environment. --- ## What Success Looks Like * **In 90 days:** You know the platform's services and their weak points, you have set up a regular design-review cadence, and you have shipped or unblocked at least one significant piece of work with the team. * **In 6 months:** The team delivers against a clear, well-sequenced plan, production issues are traced to root cause instead of patched, and recurring implementation-team requests are turning into platform capabilities. * **In 12 months:** Your area of the platform runs reliably with few surprises, the team works to standards you have set, and engineers you have grown make good decisions without needing you in every one.
Tech Lead / Architect (Core Platform)
## Tech Lead / Architect (Core Platform) **Location:** Hyderabad | **Experience:** 8–12 Years | **Team:** Technology - Build Team (Core) --- ## About Bluecopa Bluecopa is an innovative finance operations automation platform that empowers modern finance teams to streamline operations, automate reconciliations, and gain real-time business insights. We're redefining how finance teams operate by bringing together technology, data, and financial expertise into a seamless product experience. We are a fast-growing fintech backed by top-tier investors, serving high-growth companies with complex financial workflows. If you're passionate about designing systems that move money-critical data at scale, Bluecopa is the place to be. --- ## Position Overview We are looking for a Tech Lead / Architect to own the technical direction of our core platform. You will design the services, data models, and APIs that the rest of the product is built on. You will also lead a small team of engineers, set the engineering bar, and stay hands-on in the code. This is a build role on our core team. You will take new capabilities from a rough idea to a running service in production. You will make the calls on architecture, data flow, and trade-offs, then write code, review pull requests, and mentor the team through delivery. We value engineers who keep designs simple, dig deep into root causes, and care about systems that stay reliable as they grow. --- ## Key Responsibilities * **Architect Core Platform Services:** Define service boundaries, data models, APIs, and integration patterns for the Bluecopa platform. * **Lead End-to-End Delivery:** Drive the design and delivery of new platform capabilities, taking them from technical design documents to production rollout. * **Stay Hands-On:** Write production code, review pull requests, and set coding and testing standards for the team. * **Guide Day-to-Day Technical Execution:** Break large problems into clear, estimable work for a team of 4–6 engineers. * **Design for Scale and Reliability:** Make deliberate choices on data partitioning, caching, concurrency, idempotency, and failure handling. * **Drive Non-Functional Quality:** Ensure performance, availability, observability, cost efficiency, and security in every signed-off design. * **Partner with Product:** Shape requirements, flag technical risks early, and propose simpler technical paths to reach goals. * **Collaborate on Infrastructure:** Work with DevOps on deployment, environment, and infrastructure decisions across Kubernetes and cloud setups. * **Manage Technical Debt:** Identify system bottlenecks that slow the team down and plan high-impact refactors. * **Mentor Engineers:** Grow the next generation of senior engineers through design reviews, pairing, and written feedback. * **Document Technical Standards:** Write and maintain design documents, architecture decision records, and runbooks. * **Apply Domain Knowledge:** Leverage finance domain expertise (accounting, close automation, reconciliation) to design data models that reflect real-world business logic. --- ## What We Are Looking For ### Required Qualifications * **Bachelor's degree** in Computer Science, Information Technology, or a related field. * **8–12 years** of hands-on software engineering experience, including 2+ years leading a team or owning product architecture. * Strong backend engineering skills in a JVM language (**Java or Kotlin**) or an equivalent modern stack. * Proven track record of designing and shipping distributed, service-based systems in production. * Deep knowledge of relational databases and **SQL**, including schema design, indexing, and query tuning. * Solid experience with **REST API** design, versioning, and integration with third-party systems. * Hands-on experience with cloud platforms (**GCP, AWS, or Azure**) and containerized deployments (**Docker, Kubernetes**). * Working knowledge of message queues or event-driven patterns (**Kafka, Pub/Sub**, or similar). * Strong grasp of automated testing, CI/CD pipelines, and Git-based workflows. * Experience working in Agile/Scrum teams with tools like JIRA, with strong written design communication skills. ### Preferred Qualifications * Experience building multi-tenant SaaS platforms with tenant isolation and role-based access control (RBAC). * Exposure to large-scale data processing or analytics pipelines (Spark, dbt, warehouse-backed workloads). * Familiarity with modern frontend stacks (React, TypeScript) to reason about full-stack trade-offs. * Experience with observability tooling (Grafana, Datadog, New Relic, OpenTelemetry) and production on-call ownership. * Exposure to AI or LLM-backed product features and their underlying engineering patterns. * Prior experience building finance, fintech, or enterprise SaaS products. --- ## Skills & Competencies ### Technical Skills * System and API architecture for distributed services * Backend development in Java or Kotlin (or equivalent) * Data modelling, SQL, and database performance tuning * Cloud-native delivery — Docker, Kubernetes, CI/CD * Event-driven and asynchronous processing patterns * Observability, performance, and reliability engineering * Finance domain knowledge — accounting, close automation, or reconciliation workflows ### Soft Skills * Clear technical decision-making with documented reasoning * Strong analytical and root-cause problem-solving mindset * Ability to mentor and grow engineers through code reviews and pairing * Clear written and verbal communication across technical and non-technical stakeholders * Bias for simple solutions and steady delivery over large rewrites * High ownership mindset — sees a feature through to production and beyond --- ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Professional development and learning opportunities * Flexible work arrangements * Collaborative and innovative work environment * Health and wellness benefits --- *We are an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.*
Team Lead/EM – SRE
## Team Lead/EM – SRE **Location:** Hyderabad (Work from Office) | **Type:** Full-time | **Experience:** 7–10 years | **Working Days:** 5 Days a Week (Mon-Fri) --- ## About Bluecopa Bluecopa is building the next-generation finance operations platform for high-growth companies. Our mission is to help finance teams automate, analyse, and act faster on their data — enabling smarter decisions and accelerating business outcomes. We're a fast-paced, product-driven team solving real-world data problems at scale. If you love running reliable production systems, leading strong engineering teams, and being the calm hand during an incident, we'd love to have you on board. --- ## The Role We're looking for a Team Lead – SRE to lead our Site Reliability and DevOps team. You'll own the reliability, availability, and operability of the Bluecopa platform across both enterprise (customer-hosted) and Bluecopa-managed deployments. This role sits at the intersection of engineering and customers. You'll drive customer onboarding end-to-end — requirements, coordination, approvals, and provisioning — whether the platform runs in the customer's environment or ours. You'll also own monitoring, incident management, and platform support for our enterprise customers. This is a hands-on leadership role. You'll manage a team of SRE and DevOps engineers, set the standards for how we operate production, and stay close enough to the systems to debug, unblock, and lead from the front when it matters. --- ## What You'll Do ### Team Leadership * Lead and manage a team of SRE and DevOps engineers — planning, prioritization, mentoring, and performance. * Define and enforce operational standards, runbooks, and on-call practices across the team. * Balance project work (onboarding, automation) with operational work (support, incidents) across the team. ### Enterprise Customer Onboarding (Customer-Hosted) * Gather and validate infrastructure, security, and deployment requirements with enterprise customers. * Coordinate with customer IT, security, and infrastructure teams to plan and execute deployments. * Drive approvals — security reviews, access requests, compliance sign-offs — to keep onboarding on schedule. * Own provisioning and deployment of the Bluecopa platform in the customer's environment, end-to-end. ### Bluecopa-Managed Customer Onboarding * Own requirements gathering and environment planning for customers hosted on Bluecopa-managed infrastructure. * Coordinate internally with Product, Platform, and Delivery teams to sequence onboarding activities. * Manage approvals and access provisioning across internal and customer stakeholders. * Provision, configure, and hand over customer environments on Bluecopa-managed cloud infrastructure. ### Enterprise App / Product / Platform Support * Own app, product, and platform support for enterprise customers — triage, resolution, and escalation. * Work with Engineering and Product teams to resolve issues and feed recurring problems back into the roadmap. * Track and meet support SLAs; communicate clearly with customers during issues. ### Monitoring Setup * Design and set up monitoring, alerting, and observability for all customer environments — enterprise and Bluecopa-managed. * Build dashboards and alerts that catch issues before customers do — infrastructure, application, and data-pipeline health. * Continuously tune alerting to reduce noise and improve signal. ### Monitoring & Incident Management * Own the incident management process — detection, response, communication, and resolution. * Run structured RCAs (Root Cause Analysis) and post-incident reviews; drive corrective actions to closure. * Establish and manage on-call rotations, escalation paths, and incident severity frameworks. * Report on reliability metrics — uptime, MTTR, incident trends — and drive them in the right direction. --- ## What We're Looking For ### Core (All Mandatory) * **7–10 years** of experience in SRE, DevOps, or infrastructure engineering roles, with at least 2 years leading a team. * Strong hands-on experience with **Kubernetes** and containerized production environments. * Hands-on with at least one major cloud platform: **GCP, AWS, or Azure**. * Proven experience with monitoring and observability stacks — Prometheus, Grafana, ELK, Datadog, or similar. * Strong incident management experience — running incidents, writing RCAs, and driving post-incident improvements. * Experience deploying and supporting software in customer-controlled (enterprise) environments. ### Infrastructure & Automation * Experience with Infrastructure as Code — **Terraform, Helm**, or similar. * Solid grasp of CI/CD pipelines and release management. * Scripting proficiency in **Python or Bash** for automation and tooling. * Working knowledge of networking, security, and access management fundamentals — VPNs, firewalls, IAM, certificates. ### Ways of Working * Comfortable working directly with enterprise customers — technical discussions, approvals, and escalations. * Able to coordinate across customer teams and internal teams to keep multi-stakeholder projects moving. * Clear, proactive communicator — especially under pressure during incidents. ### Good to Have * Experience onboarding customers in regulated or security-sensitive environments (security reviews, VAPT, compliance approvals). * Exposure to SaaS platform operations and multi-tenant environments. * Familiarity with ITIL or similar service management frameworks. * Prior experience in a high-growth startup or product company. --- ## 30–60–90 Day Goals * **First 30 Days — Learn & Stabilize:** Understand the Bluecopa platform architecture, deployment models (enterprise and Bluecopa-managed), and current customer environments. Meet the SRE/DevOps team; understand each member's strengths, workload, and current commitments. Review existing monitoring, alerting, on-call, and incident processes; identify the biggest gaps. Shadow at least one customer onboarding end-to-end and take stock of all in-flight onboardings and open support issues. * **By 60 Days — Own & Improve:** Take full ownership of customer onboarding — requirements, coordination, approvals, and provisioning — for both deployment models. Standardize onboarding into a repeatable checklist/runbook with clear owners and timelines. Close the top monitoring gaps — dashboards and alerts in place for all active customer environments. Establish the incident management framework — severity levels, escalation paths, on-call rotation, and RCA template. * **By 90 Days — Scale & Lead:** Run onboarding and support predictably — customers onboarded on schedule, support SLAs consistently met. Every major incident has an RCA with corrective actions tracked to closure. Publish a monthly reliability report — uptime, MTTR, incident trends — with a clear improvement plan. Have a clear view of team structure, skill gaps, and automation priorities for the next two quarters. --- ## Mindset High ownership. Calm under pressure. You treat reliability as a product, not an afterthought — and you hold the bar for your team, your customers, and yourself. You don't wait to be told what to do. You find the problem, scope it, and fix it — and you build a team that does the same.
Team Lead - Connectors
## Tech Lead — Connectors **Location:** Hyderabad (Work from Office) | **Type:** Full-time, 5 days a week | **Experience:** 8–10 years --- ## About Bluecopa At Bluecopa, we are building a finance operations platform for high-growth companies. We help finance teams automate their work, analyse their data, and make decisions faster. We are a small, product-focused team working on hard data integration problems. If you like building reliable connectors and moving data between enterprise systems at scale, we would like to talk to you. --- ## About the Role As Tech Lead for Connectors, you will lead the team that builds and runs Bluecopa's data integration platform. This is a hands-on role: you will write code, review designs, and guide a team of engineers building integrations with ERPs, SaaS applications, databases, payment platforms, APIs, and file storage systems. Your success will be measured on three things: how quickly the team can launch new connectors, how reliably those connectors run in production, and how easily other teams can use the data they produce. --- ## What You Will Do ### Connector Platform * Design the connector platform so that a new production-ready connector can go from planning to launch in weeks, not months. * Build a shared framework that handles the common parts of every connector — authentication, schema discovery, extraction, pagination, incremental sync, retries, checkpointing, and error handling — so engineers write only the source-specific logic. * Set clear standards for how connectors are built, tested, monitored, and updated, and make sure the team follows them through design and code reviews. ### Enterprise Integrations * Build and ship connectors for systems such as SAP S/4HANA, Oracle Fusion, NetSuite, Microsoft Dynamics, Salesforce, HubSpot, QuickBooks, Zoho Books, Stripe, and PayPal, each supporting both full and incremental sync. * Make sure every connector handles API rate limits, pagination, retries, partial failures, and long-running sync jobs on its own, so customer syncs finish without anyone stepping in manually. * Build integrations across REST/SOAP APIs, SDKs, webhooks, SFTP, relational databases (PostgreSQL, MySQL, Oracle, SQL Server), and file storage (GCS, S3, Azure Blob, Google Drive, OneDrive). ### Data Correctness and Incremental Sync * Design CDC and incremental sync patterns (using Debezium, Kafka, or similar) so that data moves exactly once — no duplicates, no gaps, no silent data loss when a job fails and restarts. * Build checkpointing and recovery so that connectors resume safely after failures and keep working when a source system changes its schema. * Deliver clean, validated data into BigQuery, Snowflake, or Databricks that finance and product teams can use without double-checking it. ### Data Models and Contracts * Map source-specific objects to Bluecopa's standard business entities, including custom fields, custom objects, and metadata. * Define and maintain schemas and data contracts so that connector output stays consistent and predictable — a breaking change should never surprise a downstream team. ### Reliability, Monitoring, and Cost * Set and meet clear targets for sync success rate, data freshness, and time to recover from failures. * Add monitoring to every connector — health, sync latency, API failures, throughput, and data quality — so the team finds problems before customers do. * Build automatic data checks and reconciliation that catch errors at the point of ingestion, not during a customer's month-end close. * Keep API usage and cloud costs under control as data volumes grow. ### Team Leadership * Lead and mentor a team of connector engineers through code reviews, pairing, and clear standards. * Turn the integration roadmap into a realistic plan and deliver it on schedule, balancing new connectors against platform and reliability work. * Make the final technical calls for the connector area, lead design reviews for complex integrations, and solve problems that cut across multiple connectors. * Work with Product, Customer Success, and data teams to decide which integrations matter most to customers, and clear blockers quickly when things escalate. --- ## What We Are Looking For * **8–10 years** in data engineering, data integration, or backend engineering, including at least 2 years leading engineers or being fully responsible for a technical area. * A history of building and running production integrations or data pipelines — systems you can point to that worked reliably for years. * Strong hands-on **Python** and **SQL**, with a solid understanding of relational databases. * Experience building API integrations (REST and/or SOAP) that deal with real-world problems: rate limits, pagination, retries, checkpointing, idempotency, error handling, schema changes, and data validation. * Hands-on experience with an integration framework such as Airbyte, Singer, CData, or Meltano. * Experience loading and modelling data in BigQuery, Snowflake, Databricks, or a similar platform. * Working knowledge of at least one major cloud (GCP, AWS, or Azure). * Good engineering habits: Git, CI/CD, automated testing, monitoring, and handling production incidents. ### Nice to Have * Direct integration work with SAP S/4HANA, Oracle Fusion, NetSuite, Microsoft Dynamics, Salesforce, or similar enterprise applications. * Experience with Debezium, Kafka, or other CDC/streaming systems. * Experience with dbt and modern ELT pipelines. * Experience with Temporal, Airflow, Prefect, or similar orchestration tools. * Kubernetes experience. * Experience designing standard data models and data contracts. * Experience handling custom fields, custom objects, and metadata in enterprise applications. * Experience with webhooks and event-driven integrations. * Time spent at a SaaS or high-growth startup. --- ## What Success Looks Like * **In 90 days:** You have shipped or unblocked at least one major connector, set up a regular design-review process, and picked the top three framework improvements that will speed up future launches. * **In 6 months:** New connectors launch faster than before, sync reliability is tracked against clear targets on a dashboard, and the team works to standards you have set. * **In 12 months:** Customers can turn on new integrations in days, production issues are rare and fixed quickly, and the team you have built ships good work without needing you in every decision.
Forward Deployed Engineer — Full Stack & Data
# Forward Deployed Engineer — Full Stack & Data **Location:** Bengaluru (In-office) **Type:** Full-time | 5 Days a Week **Experience:** 5–8 Years (preferably in a client-facing or embedded context) ## About Bluecopa Bluecopa exists to bring finance into the next age of tooling and eventually make it autonomous. We’ve built a product that has found acceptance with big enterprises. Our platform helps finance teams streamline operations, automate reconciliations, and gain real-time business insights. ## The Role You will sit at the intersection of engineering and client success — embedded with customers to understand their data and product problems deeply, then design and ship solutions that span from backend data pipelines to frontend product interfaces. **This is not a support role.** You will build end-to-end: ingesting and transforming data with idempotent, re-playable pipelines on one end, and shipping production-grade React/TypeScript interfaces that surface that data clearly for finance and ops stakeholders on the other. You will make calls on what gets built custom versus what gets pushed back into the core platform, and feed those insights directly to the product team. The role works closely with Implementation and Product, and with clients from pre-sales through go-live. ## Key Responsibilities * **Full-Stack Embedded Delivery:** Embed with enterprise clients to scope, design, and deliver end-to-end data solutions — from ingestion through to the user interface. * **Pipeline Engineering:** Build and maintain production-grade data pipelines — both batch and streaming — on data warehousing and distributed infrastructure. * **Pipeline Integrity:** Design and enforce idempotent, re-playable processing patterns across ingestion and ETL workflows to guarantee exactly-once semantics and safe re-runs. * **Workflow Orchestration:** Configure and extend workflow orchestration using Bluecopa's native constructs to model complex client automation requirements. * **UI Engineering:** Design and build scalable React/TypeScript frontend interfaces that surface finance and operations data clearly for non-technical stakeholders. * **Technical Design:** Translate Statements of Work (SOW) and business requirements into detailed technical designs and implementation plans covering both data and UI layers. * **Strategic Triaging:** Make strategic decisions on whether to request a core platform feature or build a custom client implementation. * **Client Advisory:** Lead deep technical discussions with enterprise clients during pre-sales and implementation phases. * **Product Feedback:** Act as the technical voice of the customer — document patterns, pain points, and product gaps to share with internal tooling and architecture review boards. ## Required Qualifications ### Technical Requirements * **Data Warehousing:** Solid familiarity with BigQuery — query optimization, schema design, partitioning, and cost management. * **Pipeline Mastery:** Strong command of ETL/ELT pipeline design — including idempotency, re-playability, checkpointing, and failure recovery strategies. * **Core Backend Code:** Command of Python and SQL for pipeline development, data transformation, and scripting. * **Distributed Systems:** Solid understanding of distributed systems fundamentals — consistency, fault tolerance, and scalability patterns. * **Workflow Engines:** Conceptual familiarity with workflow engines (Temporal, Argo, Airflow, or similar) — durable execution, retries, and DAG-based orchestration in production. * **Frontend Engineering:** Strong familiarity with React and TypeScript for building production interfaces — component design, state management, and performance optimization. * **UI/UX Translation:** Ability to translate product and design requirements into clean, maintainable UI components. * **API Integration:** Strong familiarity with REST and GraphQL API integration patterns — both consuming APIs for data ingestion and wiring them to frontend components. * **Cloud & Containers:** Working familiarity with cloud platforms (GCP or AWS) and container basics (Docker, Kubernetes) sufficient for deployment and debugging (deep infrastructure ownership is not required). ### Client Alignment & Product Thinking * **Comfort with Ambiguity:** Ability to drive technical clarity from loosely defined requirements. * **Bilingual Communicator:** Strong written and verbal communication — able to navigate a CTO and a data analyst in the same conversation. * **Product Instinct:** Thinks about UX, edge cases, and long-term maintainability — not just task completion. * **Consulting Maturity:** Experience working directly with enterprise clients or in a forward-deployed / embedded engineering context. ## Preferred Qualifications (Nice to Have) * Experience in a startup or fast-paced consulting / professional services environment. * Exposure to LLM tooling or AI-native product development. * Familiarity with data contracts and schema registries. * Technical background in fintech or enterprise SaaS platforms. * Prior experience as a solutions engineer or technical account manager. ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge full-stack and distributed data ecosystems * High ownership, autonomy, and direct visibility with enterprise leadership * Professional development and rapid career growth within a scaling SaaS ecosystem * Collaborative, innovation-first work environment * Health and wellness benefits
Forward Deployed Engineer — Data Engineering & Infrastructure
# Forward Deployed Engineer — Data Engineering & Infrastructure **Location:** Bengaluru (In-office) **Type:** Full-time | 5 Days a Week **Experience:** 5–8 Years (preferably in a client-facing or embedded context) ## About Bluecopa Bluecopa exists to bring finance into the next age of tooling and eventually make it autonomous. We’ve built a product that has found acceptance with big enterprises. Our platform helps finance teams streamline operations, automate reconciliations, and gain real-time business insights. ## The Role You will sit at the intersection of engineering and client success — embedded with customers to understand their data problems deeply, then design and ship the infrastructure to solve them. **This is not a support role.** You will architect data pipelines, own infrastructure decisions on-site, and translate ambiguous business requirements into production-grade, idempotent systems. You will make calls on what gets built custom versus what gets pushed back into the core platform, and feed those insights directly to the product team. The role works closely with Implementation and Product to assess platform gaps, and with clients from pre-sales through go-live. Expect equal parts terminal, architecture whiteboard, and client call. ## Key Responsibilities * **Embedded Delivery:** Embed with enterprise clients to scope, design, and deliver data engineering solutions end-to-end. * **Pipeline Engineering:** Build and maintain production-grade data pipelines — both batch and streaming — on data warehousing and distributed infrastructure. * **Pipeline Integrity:** Design and enforce idempotent, re-playable processing patterns across ingestion and ETL workflows to guarantee exactly-once semantics and safe re-runs. * **Infrastructure Provisioning:** Own end-to-end cloud infrastructure configuration: GCS bucket policies, VM sizing/lifecycle management, GKE pod specs, Kubernetes manifests, and cluster-level resource management. * **Workflow Orchestration:** Configure and extend workflow orchestration using Bluecopa's native constructs to model complex client automation requirements. * **Technical Design:** Translate Statements of Work (SOW) and business requirements into detailed technical designs and implementation plans. * **Strategic Triaging:** Make strategic decisions on whether to request a core platform feature or build a custom client implementation. * **Client Advisory:** Lead deep technical discussions with enterprise clients during pre-sales and implementation phases. * **Product Feedback:** Act as the technical voice of the customer — document patterns, pain points, and product gaps to share with internal tooling and architecture review boards. ## Required Qualifications ### Technical Requirements * **BigQuery Depth:** Deep familiarity with BigQuery — query optimization, schema design, partitioning, clustering, and cost management. * **Pipeline Mastery:** Strong command of ETL/ELT pipeline design — including idempotency, re-playability, checkpointing, and failure recovery strategies. * **GCP Infrastructure:** Hands-on experience provisioning and managing GCP infrastructure: GCS, Compute Engine VMs, GKE clusters, Kubernetes pods, deployments, and namespaces. * **Distributed Systems:** Solid understanding of distributed systems fundamentals — consistency, fault tolerance, exactly-once processing, and scalability patterns. * **Workflow Engines:** Experience with workflow engines (Temporal, Argo, Airflow, or similar) — durable execution, retries, and DAG-based orchestration in production. * **Core Code:** Command of Python and SQL for pipeline development, data transformation, and automation scripting. * **Containers & APIs:** Familiarity with container-based deployments (Docker, Kubernetes manifests, Helm charts) and REST/GraphQL API integration patterns. * **Infrastructure as Code (IaC):** Comfort reading and writing IaC (Terraform or equivalent) is a strong plus. ### Client Alignment & Product Thinking * **Comfort with Ambiguity:** Ability to drive technical clarity from loosely defined requirements. * **Bilingual Communicator:** Strong written and verbal communication — able to navigate a CTO and a data analyst in the same conversation. * **Product Instinct:** Thinks about edge cases, long-term maintainability, and platform reuse — not just task completion. * **Consulting Maturity:** Experience working directly with enterprise clients or in a forward-deployed / embedded engineering context. ## Preferred Qualifications (Nice to Have) * Experience in a startup or fast-paced consulting / professional services environment. * Exposure to LLM tooling or AI-native product development. * Familiarity with data contracts and schema registries. * Technical background in fintech or enterprise SaaS platforms. * Prior experience as a solutions engineer, data platform engineer, or infrastructure lead. ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge distributed data ecosystems * High ownership, autonomy, and direct visibility with enterprise leadership * Professional development and rapid career growth within a scaling SaaS ecosystem * Collaborative, innovation-first work environment * Comprehensive health and wellness benefits
Domain (Finance) Consultant
# Domain (Finance) Consultant **Type:** Full-time | 5 Days a Week **Experience:** 6+ Years **Location:** Bengaluru ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. ## Role Summary As a **Domain (Finance) Consultant**, you are the authority on how enterprise finance actually works — and on how it should be configured in Bluecopa. You own the finance side of every customer implementation: translating complex financial workflows into accurate, controlled, and reusable platform configurations that are right the first time and sign-off ready. This is a high-impact role where you will directly lead finance discovery with C-suite stakeholders, eliminate configuration rework loops, and set the structural standard for how Bluecopa scales finance delivery. ## Key Responsibilities * **Finance Process Ownership:** Engage deeply with customers' finance and data teams. Understand their current workflows, map optimized approaches, and accurately convert real-world processes into native Bluecopa configurations. * **Finance Rules Accuracy:** Define and validate reconciliation rules, complex matching logic, accounting treatments, multi-entity consolidation settings, and exception handling protocols to ensure setups are correct by design. * **Zero Configuration Rework:** Drive thorough front-end scoping and secure early finance sign-off so requirements are captured perfectly the first time, protecting downstream delivery from development loops. * **Sign-off Readiness:** Run User Acceptance Testing (UAT) from the finance side and own functional sign-off, ensuring all reconciliations tie out completely before production go-live. * **Internal Controls:** Design and configure stringent financial controls, segregation of duties (SoD), clear audit trails, and financial close-readiness into every deployment topology. * **Solution Reusability:** Build reusable finance templates, domain accelerators, and industry playbooks so each implementation makes subsequent onboardings faster and more standardized. ## Required Qualifications * **Experience:** 6+ years of experience implementing finance operations, financial systems consulting, corporate controllership, or leading enterprise finance transformation projects. * **Domain Expertise:** Deep, hands-on expertise across Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) cycles—including granular reconciliations, multi-entity consolidation, ledger mechanics, and core accounting principles. * **Governance & Controls:** Strong command of enterprise financial controls, structural segregation of duties, financial close management, and audit-readiness practices. * **Stakeholder Management:** Proven ability to smoothly lead discovery conversations with finance stakeholders and comfortably command a room containing senior finance leaders (CFOs, Controllers, VPs). * **Process Standardisation:** Demonstrated ability to take fragmented, poorly documented finance processes and mold them into standardized, reusable, and sign-off-ready system configurations. ## What Success Looks Like Success in this role is measured directly against concrete delivery outcomes: * **Zero** finance-configuration rework after formal sign-off. * **100%** reconciliation accuracy achieved at production go-live. * **≥ 90%** first-time-right finance sign-off rate across client engagements. * **100%** controls and comprehensive audit-trail coverage on every live environment. ## What We Offer * Competitive compensation package * Opportunity to reshape software interfaces for enterprise finance teams * High visibility, working directly with client C-suite executives and internal leadership * Professional development and rapid career growth within a scaling SaaS ecosystem * Collaborative, innovation-first work environment * Comprehensive health and wellness benefits
Manager, Data Practice
# Manager, Data Practice **Location:** Hyderabad / Bangalore / Mumbai / Gurugram (Work from Office) **Type:** Full-time | 5 Days a Week **Experience:** 8–15 Years (Minimum 5+ years in team management/delivery leadership) ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. Much of this role's work happens directly on or around the Bluecopa platform, building and delivering data solutions for clients. A willingness to go deep on our platform and its technical capabilities is essential to success. ## Role Summary We are looking for a highly dependable **Manager for the Data Practice** at Bluecopa who can act as a strong backup for the data function and take complete ownership of day-to-day delivery with minimal to no supervision. Leadership should be able to rely implicitly on you to manage priorities, lead the engineering team, solve roadblocks, and keep execution moving smoothly. This is a client-focused, hands-on leadership role. Ground situations change fast with enterprise clients; you will need to operate with quick turnarounds, adapt to dynamic requirements, and keep clients confident even when the picture shifts mid-engagement. We need someone practical, highly accountable, and completely comfortable with ambiguity. ## Key Responsibilities * **End-to-End Delivery:** Own and drive data initiatives from planning to final delivery; act as a dependable second-in-command for the entire data function. * **Team Management:** Manage day-to-day operations across data engineering, analytics, BI, and reporting tracks. Lead, mentor, review work, and enforce high accountability. * **Client Engagement:** Serve as a primary technical point of contact for client teams, responding to evolving requirements with fast turnarounds. * **Dynamic Prioritization:** Adapt delivery plans and priorities to shifting on-the-ground client situations without sacrificing discipline or quality. * **Problem Solving:** Identify technical or structural blockers early and solve problems independently before they escalate. * **Stakeholder Management:** Work closely with leadership and internal stakeholders (Sales, Pre-Sales, Proposal Writers, Marketing), providing clear risk assessments and execution recommendations. * **Technical Support:** Participate in architecture reviews, design discussions, and technical decision-making alongside data architects. * **Platform Mastery:** Build a deep working knowledge of the Bluecopa platform to implement it natively in customer environments. ## Required Qualifications * **Experience:** 8 to 15 years of experience in data engineering, analytics, BI, or related fields. * **Leadership Tenure:** Minimum 5+ years of experience directly managing engineering teams or leading consulting delivery. * **Technical Depth:** Strong hands-on knowledge of SQL, data pipeline architectures, reporting, analytical modeling, and modern cloud data platforms. * **Consulting Background:** Proven track record working directly with enterprise clients in a delivery, professional services, or consulting capacity. * **Execution Mindset:** Exceptional communication, stakeholder management, and multi-priority handling skills. ## What We Are Looking For * **High Reliability:** High ownership and execution focus, especially when running things independently in leadership's absence. * **Client-First Bias:** A clear client-first mindset focused on responsiveness and speed. * **Agility:** Calm under pressure and highly adaptable when ground realities shift mid-project. * **Continuous Learning:** Genuine curiosity and willingness to learn new tools, technologies, and financial business domains. * **Balanced Leadership:** The ability to balance deep technical intuition with practical delivery leadership. ## Preferred Qualifications * Domain experience managing data frameworks within complex, data-heavy industries (e.g., Fintech, SaaS, BFSI). * Experience collaborating across global models, specifically handling US and India team intersections. * Prior exposure to large-scale cloud migration, automated data governance, or compliance tracking initiatives. ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge, AI-native data ecosystems * Direct influence on enterprise-level professional services strategy * Professional development and leadership growth paths * Collaborative and innovative work environment * Health and wellness benefits
Technical Architect
# Technical Architect **Location:** Hyderabad / Bangalore (Work from Office) **Type:** Full-time | 5 Days a Week **Experience:** 8–15 Years ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. Our clients are security-conscious organizations with demanding InfoSec and compliance teams. Deployments often involve client VPCs, private connectivity, and strict data residency and isolation requirements. This role sits at the intersection of architecture, application security, and information security, and is central to winning and retaining enterprise trust. ## Role Summary We are looking for a Technical Architect at Bluecopa who can own the security and architecture story for our enterprise deployments. This is a client-facing role. You should be able to walk into a client conversation and clearly articulate the system view, networking view, and deployment view of our platform, and answer hard questions about how data remains secure, how integrations happen, and how our architecture fits into the client's environment. The person in this role needs to handle security questionnaires, architecture reviews, and InfoSec assessments with fast turnarounds, and adapt to each client's specific environment and constraints. ## Key Responsibilities * **Architecture Narrative:** Own the end-to-end architecture narrative for enterprise deployments, covering system, networking, and deployment views. * **Data Security Design:** Design and document how customer data remains secure in client VPC and hosted deployment models, including encryption at rest and in transit, key management, isolation, and access control. * **Secure Integration Patterns:** Architect secure integration patterns with client systems such as ERPs, data warehouses, file transfer, and APIs, covering authentication, authorization, network paths, and data flow. * **InfoSec Assessments:** Lead responses to client security questionnaires, architecture reviews, VAPT findings, and InfoSec assessments. * **Application Security:** Drive application security practices across the engineering team, including secure design reviews, threat modeling, and remediation of findings. * **Topologies & Reference:** Define and maintain reference architectures and deployment topologies across cloud platforms. * **Client Engagement:** Work with client infrastructure, security, and network teams to design and troubleshoot connectivity, peering, and deployment setups. * **Compliance Support:** Support compliance and certification efforts such as SOC 2 and ISO 27001 from an architecture and evidence standpoint. * **Cross-functional Alignment:** Partner with sales, pre-sales, and delivery teams to address architecture and security topics during deals and implementations. * **Continuous Improvement:** Stay current on cloud security capabilities and bring practical recommendations into the platform. ## Required Qualifications * **Experience:** 8 to 15 years of experience in software architecture, cloud architecture, or security architecture roles. * **Security Principles:** Strong hands-on understanding of application security and information security principles and practices. * **Cloud Infrastructure:** Deep familiarity with at least one major cloud platform (AWS, GCP, or Azure) and working knowledge of others, covering compute, networking, IAM, and security services. * **Enterprise Networking:** Proven experience designing deployments involving client VPCs, VPC peering or private link, private networking, and hybrid connectivity. * **Technical Documentation:** Ability to clearly explain and document system, networking, and deployment views of a platform for technical and non-technical audiences. * **System Integration:** Experience designing secure integrations between enterprise systems. * **Stakeholder Communication:** Strong communication skills and comfort engaging directly with client security and infrastructure teams. ## What We Are Looking For * Someone who can be the trusted technical voice in front of demanding enterprise security teams. * Clarity of thought in explaining complex architectures simply. * Fast turnarounds on security questionnaires, reviews, and client asks. * Practical, risk-based judgment rather than checkbox security. * Comfort with ambiguity and varied client environments. * High ownership over the security posture of the platform and its deployments. ## Preferred Qualifications * Data architecture experience, including data modeling, pipelines, warehousing, and data governance. * Exposure to confidential computing, secrets management, and advanced isolation patterns. * Experience with compliance frameworks such as SOC 2, ISO 27001, or GDPR. * Background working with BFSI or other heavily regulated industries. * Experience supporting US and India teams in a global delivery setup.
UI Developer (Fresher) - Solution Engineering
**Location.** Hyderabad/Bengaluru **Team:** Solution Engineering **Experience:** 1–2 years ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. ## About the Role Join the Solution Engineering team building and integrating UI for data-driven products, pipelines, workbooks, and workflow tooling. This is a UX-leaning developer role with strong product understanding; you'll build interfaces that connect cleanly to backend services and real customer data. ## What You'll Do * **UI Construction:** Build UI components and screens in ReactJS + TypeScript. * **Design Translation:** Translate designs into faithful, responsive, accessible interfaces. * **API Integration:** Integrate front-end with backend APIs and handle all data states (loading/error/empty). * **Code Quality:** Write clean, typed, maintainable code and participate in code reviews. * **Data Interface Engineering:** Work on grids, forms, and config-driven UI for data workflows. ## Must Have * 1–2 years (or strong internship/project) experience with JavaScript/TypeScript. * Working knowledge of ReactJS (components, state, hooks). * Solid HTML/CSS fundamentals, responsive layout, and a good eye for design. * API integration (REST, fetch/axios) and Git. * Problem-solving mindset and willingness to learn the platform deeply. ## Nice to Have * TypeScript type systems and state management patterns. * Tailwind CSS. * Exposure to data tooling (grids, charts, pipelines). * Unit testing (Jest/Vitest).
Infra / DevOps Engineer
# Infra / DevOps Engineer **Location:** Hyderabad (Work from Office) **Type:** Full-time | 5 Days a Week **Experience:** 1–2 Years ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. ## Position Overview We are seeking an enthusiastic and motivated Infra / DevOps Engineer to join our infrastructure team. The ideal candidate will have a strong foundational understanding of cloud platforms, basic containerization, and a keen interest in infrastructure automation. This is a hands-on, growth-oriented role where you will support production systems, maintain CI/CD pipelines, and manage cloud resources under the guidance of senior engineers. If you have a solid grasp of Linux, basic scripting skills, and a strong desire to learn modern DevOps practices deeply, we want to hear from you. ## Key Responsibilities * **Infrastructure Support:** Assist in managing and maintaining scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI) under senior guidance. * **Container Operations:** Deploy, maintain, and monitor containerized applications using Docker and Kubernetes clusters. * **Pipeline Management:** Maintain and build automated CI/CD pipelines for multiple software services and testing environments. * **Infrastructure as Code:** Learn and contribute to infrastructure provisioning using tools like Terraform and/or Pulumi. * **Automation:** Write basic Python and shell scripts to automate deployment tasks, routine monitoring, and maintenance. * **Monitoring & Observability:** Monitor system metrics and track environment health using tools like Prometheus, Grafana, or the ELK stack. * **Collaboration & Support:** Work closely with development, security, and senior infrastructure engineers to troubleshoot minor environment incidents and handle support tickets. * **System Administration:** Apply basic principles of Linux administration, cloud networking, and configuration management. ## Required Qualifications * **Experience:** 1–2 years of experience in an IT infrastructure, cloud engineering, or Junior DevOps role (strong internships and relevant technical projects also count). * **Cloud Exposure:** Hands-on exposure to at least one major cloud platform (GCP, AWS, Azure, or OCI). * **Containers & Orchestration:** Basic working knowledge of Docker and foundational concepts of Kubernetes cluster architecture. * **OS Fundamentals:** Solid core fundamentals in Linux administration and basic cloud networking. * **Scripting Skills:** Basic programming and scripting ability in Python or Shell/Bash scripting. * **CI/CD Concepts:** Understanding of CI/CD methodologies with exposure to tools like GitHub Actions, GitLab CI, Jenkins, ArgoCD, or GCP Cloud Build. * **Infrastructure as Code:** Theoretical understanding or basic exposure to Infrastructure as Code (IaC) tools like Terraform. ## Preferred Qualifications (Nice to Have) * Foundational understanding of cloud security configurations (IAM roles, firewalls). * Exposure to cloud cost tracking or system monitoring setups. * Basic understanding of microservices architectures. * Experience working in a fast-paced or agile software development environment. * Willingness to actively participate in training and upskilling alongside senior engineers. ## Skills & Competencies ### Technical Skills * Core Linux and basic cloud administration (GCP, AWS, or Azure) * Foundational CI/CD pipelines and version control (Git) * Docker basics and entry-level Kubernetes concepts * Foundational Python or Shell scripting * Basic understanding of Terraform syntax ### Soft Skills * Strong eagerness to learn and rapidly adapt to a production technical stack * Good analytical and problem-solving mindset * Clear written and verbal communication * Collaborative team player who takes proactive ownership of assigned tasks * Receptive to feedback and technical mentorship ## What We Offer * Competitive compensation package * Opportunity to work with cutting-edge technologies * Mentorship from experienced infrastructure and engineering leaders * Professional development and rapid learning opportunities * Flexible work arrangements * Collaborative and innovative work environment * Health and wellness benefits
Principal Implementation Data Architect
# Principal Implementation Data Architect **Function:** Professional Services / Customer Solutions **Reports to:** Head of Professional Services (Delivery) **Location:** Hyderabad / Bengaluru (Work from Office) **Experience:** 10–12 years ## About the Team Professional Services is where a new Bluecopa customer’s data reality meets the platform. Bluecopa is an AI-native finance operations platform that centralizes transaction data from ERPs, payment gateways, banks and other systems to automate reconciliations and accelerate the financial close. For a platform whose value rests on accuracy, auditability and real-time sync, the way customer data is brought in, validated, and sent back out *is* the customer experience. This role owns that data backbone across customer engagements — from the first look at a customer’s landscape through to a clean, trusted, two-way data flow in production. ## Role Summary The Principal Implementation Data Architect is the senior technical authority for customer data onboarding at Bluecopa. You own the architecture and the standards: how we read a customer’s data landscape, which connectors we deploy, how we prove the data can be trusted, how we size ingestion responsibly, how we keep everything auditable, and how we complete the handshake back to a customer’s ERP or downstream systems. You lead the most complex and strategic engagements yourself, and you set the patterns that let every other engagement go faster and safer. You are equal parts hands-on architect, customer-facing advisor, and practice builder. ## Key Responsibilities * **End-to-End Data Architecture:** Own the end-to-end data architecture for customer implementations: assess each customer’s data landscape, source systems, and data maturity, and define the right ingestion and integration approach. * **Connector Strategy:** Define connector strategy — determine which Bluecopa connectors apply for a given customer, identify gaps, and specify the approach where a standard connector does not exist. * **Data Validation Standards:** Establish and own data validation standards across completeness, correctness, and veracity, so downstream reconciliations and close processes run on data the customer can trust. * **Reference Designs:** Architect ingestion pipelines that feed downstream solutions, and define the reusable patterns, templates, and reference designs the wider Professional Services team builds against. * **Sizing & Capacity Planning:** Own ingestion sizing and capacity planning — produce defensible approximations that account for data volume, cost, and velocity, and set the guardrails the team uses to size new engagements. * **Audit & Enforced Lineage:** Define and enforce audit best practices — data lineage, controls, reconciliation checkpoints, and traceability — embedded into every pipeline by design. * **Reverse-ETL Architecture:** Architect reverse-ETL pipelines, APIs, and data formats, and own the integration design that completes the handshake with the target ERP or external system. * **Technical Point of Contact:** Act as the senior technical point of contact for customer data and engineering stakeholders during scoping and delivery; support pre-sales and solution scoping for complex or strategic accounts. * **Practice Scale & Productization:** Productize what works — turn repeated bespoke work into reusable connectors, sizing models, validation frameworks, and integration patterns so the practice scales. * **Team Mentorship:** Mentor Senior and other Implementation Data Architects; review designs, raise the technical bar, and grow the team’s capability. ## Required Qualifications * **Experience:** 10–12 years in data engineering, data integration, or solutions/implementation architecture, with a substantial portion in customer-facing or delivery roles. * **Scale Delivery:** Proven track record architecting and delivering production data pipelines (ETL/ELT) at scale, ideally for transaction-intensive or financial data. * **Technical Depth:** Deep, hands-on expertise with SQL and a programming language such as Python, and with modern data pipeline and orchestration tooling (e.g., Airflow, dbt, Spark, or equivalents). * **Integration Experience:** Strong integration experience across REST APIs, webhooks, file/SFTP-based feeds, and message-based integration, including reverse-ETL patterns back into operational systems. * **ERP System Ingestion:** Direct experience integrating with ERP and finance systems (e.g., NetSuite, SAP, Oracle, Microsoft Dynamics, QuickBooks, Zoho, Tally) and with payment, banking, or transactional data sources. * **Infrastructure Costing:** Demonstrated ability to size and cost data ingestion — translating volume and velocity into infrastructure, cost, and performance estimates. * **Governance & Compliance:** Strong grounding in data quality and validation methodology, and in audit, lineage, and governance practices; familiarity with compliance contexts (e.g., SOC 2, ISO 27001, GDPR) is expected. * **Stakeholder Communication:** Excellent communication skills — able to be the trusted technical voice in front of customer finance and engineering leaders. ### Preferred * Experience in a SaaS professional services, forward-deployed, or solutions architecture function. * Background in financial operations, reconciliations, or the close process, or in FP&A / finance data domains. * Experience building reusable connector frameworks or integration platforms. * Cloud data platform depth (Snowflake, BigQuery, Redshift, or Databricks). ## What Success Looks Like * New customers reach a clean, validated, production data flow faster and with fewer surprises. * Sizing estimates hold up against real production volume and cost. * Audit and lineage are built in, not bolted on, across every engagement. * The team has reusable patterns instead of reinventing each onboarding from scratch.
Senior Data Engineer
**Location:** Hyderabad (Work from Office) **Type:** Full-time | 5 Days a Week **Experience :** 5-8 Years ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. ## The Role We're looking for a Senior Data Engineer with 5–8 years of hands-on experience in data integration, pipelines, and transformations. You'll work with Python, dbt, and modern data warehouses to connect multiple data sources — SaaS platforms, databases, and file-based or object storage systems like GCS, S3, Azure Blob, SFTP, Google Drive, and OneDrive — and ensure the data foundation is reliable, consistent, and analytics-ready. This is not a support role. You'll own integrations end-to-end — design, build, maintain, and improve. You'll work closely with Analytics, Platform, and Product teams and will be expected to bring both technical depth and good judgment to decisions about data quality, scalability, and cost. ## What You'll Do * **Data Pipeline Engineering:** Design, build, and maintain data integration pipelines across SaaS platforms, databases, and object storage systems (GCS, S3, Azure Blob, SFTP, Google Drive, OneDrive). * **Workflow Management:** Build and manage ELT/ETL workflows using Python and dbt. * **Data Warehousing:** Model, transform, and organize data in modern warehouses — BigQuery, Snowflake, or Databricks. * **Tool Integration:** Integrate and sync data using iPaaS and data movement tools such as Airbyte, Singer, CData, or Dell Boomi. * **Cross-functional Collaboration:** Collaborate with Analytics, Platform, and Product teams to define data models, transformations, and data contracts. * **Performance Optimization:** Optimize workflows for scalability, performance, and cost-efficiency. * **Data Governance & Quality:** Implement data quality checks, validation, and observability mechanisms. * **Engineering Best Practices:** Follow best practices for version control, CI/CD, and orchestration of data jobs. ## What We're Looking For ### Core (All Mandatory) * **Experience:** 5–6 years of experience in data engineering or data integration roles. * **Programming:** Strong hands-on Python — this is non-negotiable. * **Data Modelling:** Proven experience with dbt for data modelling, transformation, and deployment. * **Data Warehouses:** Hands-on with at least one modern data warehouse: BigQuery, Snowflake, or Databricks. * **Database Skills:** Excellent SQL skills and experience with database performance tuning. ### Integration & Tooling * **iPaaS Platforms:** Experience with one or more iPaaS / data integration tools: Airbyte, Singer, CData, or Dell Boomi. * **Data Replication:** Experience with Change Data Capture (CDC) — Debezium or similar tools for real-time data streaming and replication. * **Cloud Infrastructure:** Familiarity with cloud platforms: GCP, AWS, or Azure. ### Ways of Working * **Version Control:** Experience with Git and collaborative development workflows. * **Autonomy:** Comfortable working across cross-functional teams and owning deliverables independently. ### Good to Have * Experience with API integrations and RESTful data ingestion. * Knowledge of data orchestration tools like Airflow or Prefect. * Exposure to data governance, cataloguing, or metadata management. * Prior experience in SaaS or high-growth startup environments. ## Mindset * **High Ownership:** Technically sharp. You care about data quality and reliability — not just shipping pipelines. You're comfortable with ambiguity, take initiative when things are unclear, and communicate proactively when something is at risk. * **Proactivity:** *You don't wait to be told what to do. You find the problem, scope it, and fix it.*
Forward Deployed Engineer
**Location:** Hyderabad / Bengaluru (Work from Office) **Type:** Full-time | 5 Days a Week **Experience :** 5-7 Years ## About Bluecopa Bluecopa is an AI-native finance operations platform that automates Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P) on a single unified data spine — so finance teams close faster, reconcile at scale, and run on real-time, trustworthy numbers. We exist to bring finance into its next age of tooling, and eventually make it autonomous. ## The Role You will sit at the intersection of engineering and client success — embedded with customers to understand their data problems deeply, then design and ship the infrastructure to solve them. This is not a support role. You’ll architect pipelines, own technical decisions on-site, and translate ambiguous business requirements into working systems. You’ll make calls on what gets built custom versus what gets pushed back into the platform, and feed those insights directly to the product team. The role works closely with Implementation and Product to assess platform gaps, and with clients from pre-sales through go-live. Expect equal parts terminal, whiteboard, and client call. ## Key Responsibilities * **Client Data Engineering:** Embed with enterprise clients to scope, design, and deliver data engineering solutions end-to-end. * **Pipeline Infrastructure:** Build and maintain production-grade data pipelines — batch and streaming — on Data warehousing and distributed infrastructure. * **Workflow Orchestration:** Configure and extend workflow orchestration using Bluecopa’s native constructs to model complex client automation requirements. * **Technical Design:** Translate SOW and business requirements into detailed technical designs and implementation plans. * **Strategic Decisions:** Make strategic decisions on what should be a core platform feature vs. a custom implementation. * **Feedback Loop:** Interface with Implementation Support to identify platform gaps and enhancement opportunities. * **Client Engagement:** Lead technical discussions with enterprise clients during pre-sales and implementation phases. * **Frontend Development:** Design scalable frontend interfaces that surface data clearly for finance and ops stakeholders. * **Internal Contributions:** Contribute to internal tooling and participate in architecture reviews. * **Customer Voice:** Act as the technical voice of the customer — document patterns, pain points, and product gaps. ## Required Qualifications ### Technical * **BigQuery:** Familiarity with BigQuery — query optimisation, schema design, partitioning, and cost management. * **Distributed Systems:** Solid understanding of distributed systems fundamentals — consistency, fault tolerance, scalability patterns. * **Orchestration Engines:** Conceptual familiarity with workflow engines (Temporal, Argo, Airflow, or similar) — understanding of how durable execution, retries, and DAG-based orchestration work in production. * **Core Languages:** Command of programming skills in Python and SQL. * **Cloud & Infrastructure:** Experience with cloud platforms (GCP or AWS) and container-based deployments (Kubernetes). * **Frontend Stack:** Strong familiarity with React and TypeScript for building production interfaces. * **API Integration:** Familiarity with REST and GraphQL API integration patterns. * **UI Construction:** Ability to translate product and design requirements into clean, maintainable UI components. ### Client Alignment & Product Thinking * **Ambiguity Management:** Comfort with ambiguity — ability to drive technical clarity from loosely defined requirements. * **Communication:** Strong written and verbal communication — able to navigate a CTO and a data analyst in the same conversation. * **Product Instinct:** Thinks about UX, edge cases, and long-term maintainability, not just task completion. * **Embedded Engineering:** Experience working directly with enterprise clients or in a forward-deployed / embedded engineering context. ### Nice to Have * Experience in a startup or fast-paced consulting / professional services environment. * Exposure to LLM tooling or AI-native product development. * Familiarity with data contracts and schema registries. * Prior experience as a solutions engineer or technical account manager. * Background in fintech or enterprise SaaS platforms."
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