Role & responsibilities

- Build and maintain FastAPI and Django services with tests, typed interfaces, and OpenAPI docs, containerized and deployed to GKE through Cloud Build and Artifact Registry.

- Implement Kafka consumers and producers, Temporal workflows and activities, and Prefect or Airflow pipelines for batch work.

- Build agent tools over the data plane with idempotency, authorization checks, and structured errors.

- Write data pipelines on Kafka, MongoDB, Cloud SQL, Cloud Storage, and BigQuery for current sources and derived metrics.

- Use Memorystore Redis for caching and rate limiting, and Secret Manager for every credential.

- Help complete the ECS-to-GKE migration: Dockerfiles, manifests, health checks, and code changes for GCP services.

- Instrument your services with OpenTelemetry,



define SLOs in Cloud Monitoring, and join the on-call rotation.

- Take part in design reviews and grow into ownership of a service area within a year.

Preferred candidate profile

- 3 to 5 years of Python backend engineering with FastAPI or Django in production.

- MongoDB or a relational database in production, with clean data modeling and an understanding of indexes.

- Docker, Git, and CI as daily tools; async basics and message queues or Kafka.

- Tests as part of how you work, not a separate task.

- You ask about the customer problem before writing code.

📌 Back End Engineer (Gurugram)
🏢 Agentra Ai Services
📍 Gurugram