Bluecopa Full-time Bengaluru

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

Your application

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Additional questions

With 5–8 years of experience in engineering, please tell us about a time you had to build an end-to-end feature or custom solution where you personally handled both the backend data pipeline/ingestion layer and the frontend UI screens (React/TypeScript). How did you link the two efficiently? *

A key part of this role is ensuring that data processing remains fault-tolerant and re-playable. What strategies do you use (such as checkpointing, idempotency patterns, or failure recovery) to ensure exactly-once semantics and safe re-runs across batch or streaming ETL/ELT pipelines? *

What is your practical experience working with data warehouses like BigQuery? Please describe your approach to schema design, query optimization, partitioning, or cost management when processing dense finance or operational data. *

As an FDE, you will sit at the intersection of product engineering and customer success. Can you describe an instance where you were embedded with an enterprise client who had loosely defined, ambiguous requirements? How did you drive technical clarity, manage their expectations, and translate their needs into a production-grade implementation? *

In a client-facing role, there is a constant tension between building a quick, custom workaround for a single client and identifying a feature gap that belongs in the core product. How do you decide what gets built custom on-site versus what gets packaged up and shared as product feedback with internal engineering teams? *

Please note that once you apply, we will be sending a game-based assessment test. The breakdown of the test is 70% aptitude and 30% skill-based, and it will require a dedicated 2-hour time slot. Please let us know your preferred availability to take this assessment so we can schedule it according to your preference. (Below is the example)

Example: 02/06/2026 11 AM to 1 PM

Referred by an employee or agency? (Please specify name, if any)

Your information is kept confidential.