Senior Data/backend Engineer

City: Hyderabad

State/Province: Telangana

Posting Start Date: 2/23/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

1. 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.
2. 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).
3. 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.
4. Integrate with GCP Services:

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

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

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

1. Containerize and Deploy: Package the application using Docker and write Kubernetes manifests (Deployments, Services) for deployment on Google Kubernetes Engine (GKE).
2. Testing: Write comprehensive unit and integration tests using frameworks like Pytest to ensure API reliability and correctness.

• 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.