Job Description

Location: Hyderabad / Pune / Bangalore ( Location preferable is Hyderabad as customer is sitting in Hyderabad )

Experience: 5 – 8 yrs

Job Description: Senior Data/backend Engineer

Position: Senior Data/backend Engineer

Overview: We are seeking an experienced Senior Backend Engineer to join a high-priority project migrating our legacy Capital Actuals platform to a modern, event-driven microservices architecture on Google Cloud Platform (GCP). The ideal candidate will be responsible for building the core API services that manage the business workflow, state, and data interactions for a new multi-tenant application.

Key Responsibilities:

• Develop the Workflow API Service: Design and build the primary backend microservice using Python(preferably with FastAPI). This service will act as a "Backend for Frontend" (BFF) and the central coordinator for the business process.

• Implement Multi-Tenancy: Build robust data isolation logic to support different business user groups (HBEU, HBUK, Group). This includes ensuring all database queries and API logic are tenant-aware (tenant_id).

• Design & Build RESTful APIs: Create clean, secure, and efficient RESTful endpoints for the React frontend to consume for actions like initiating uploads, fetching staged data for approval, and submitting adjustments.

• Integrate with GCP Services:

• Publish messages to Google Cloud Pub/Sub to asynchronously trigger data processing pipelines (following an event-driven pattern).

• Interact with Cloud SQL (PostgreSQL) for all state management and data retrieval, writing efficient and secure queries.

• Integrate with Google Secret Manager for secure handling of database credentials and API keys.

• Containerize and Deploy: Package the application using Docker and write Kubernetes manifests (Deployments, Services) for deployment on Google Kubernetes Engine (GKE).

• Testing: Write comprehensive unit and integration tests using frameworks like Pytest to ensure API reliability and correctness.

Required Technical Skills:

• Primary Language: Expert-level Python.

• Frameworks: Strong experience with FastAPI.

• Database: Proficiency in SQL, specifically with PostgreSQL.

• Cloud: Hands-on experience with GCP, particularly GKE,Cloud SQL, and Pub/Sub.

• Containerization: Deep knowledge of Docker and Kubernetes.

• Architecture: Demonstrable experience with microservices, REST API design, and event-driven patterns.

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