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 recent 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