Python Backend Engineer Wipro

Trigent Software Private Limited

Job Location:

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Requirement 3:

Requirement Name / Title	Senior Data/backend Engineer - HSBC
No of Positions	4
Band	B3
Experience	6 10 yrs
Work Location	Hyderabad / Pune / Bangalore ( Location preferable is Hyderabad as customer is sitting in Hyderabad )
Shift	General
Notice	Immediate Joiner
Mandatory Skills	Python (preferably with FastAPI)
Preferred Skills	Python FastAPI
JC	139588

Job Description

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 (tenantid).
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.

Requirement 3: Requirement Name / Title Senior Data/backend Engineer - HSBC No of Positions 4 Band B3 Experience 6 10 yrs Work Location Hyderabad / Pune / Bangalore ( Location preferable is Hyderabad as customer is sitting in Hyderabad ) Shift General ...

Requirement 3:

Requirement Name / Title	Senior Data/backend Engineer - HSBC
No of Positions	4
Band	B3
Experience	6 10 yrs
Work Location	Hyderabad / Pune / Bangalore ( Location preferable is Hyderabad as customer is sitting in Hyderabad )
Shift	General
Notice	Immediate Joiner
Mandatory Skills	Python (preferably with FastAPI)
Preferred Skills	Python FastAPI
JC	139588

Job Description

Position: Senior Data/backend Engineer

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 (tenantid).
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.