Senior Databackend Engineer

Trigent Software Private Limited

Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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 respo...

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.