IN_Senior Associate_Python Backend Engineer _Data& Analytics_Advisory_Pune

Summary: We’re looking for a hands‑on Python backend engineer to design, build, and optimize high‑performance microservices and APIs in a cloud‑native environment. The ideal candidate brings strong FastAPI and asynchronous Python skills, solid data/access patterns, and experience operating services on SAP BTP (Kyma/Cloud Foundry) with robust observability and performance practices. 

Responsibilities 

• Build secure, performant RESTful APIs and services using FastAPI and async Python 

• Develop background processing and data pipelines (Redis queues, multi‑processing/threading) 

• Model and manage relational data with SQLAlchemy/Alembic; write efficient SQL on Postgres 

• Ensure quality with automated unit tests (PyTest) and performance tests (Locust) 

• Deploy and operate microservices on Kubernetes/SAP BTP (Kyma, Cloud Foundry) 

• Implement observability (Prometheus, Grafana) and optimize performance end‑to‑end 

• Containerize and ship services with Docker; manage dependencies via Poetry/venv/pip 

• Collaborate on architecture reviews, code reviews, and CI/CD best practices (Git) 

Mandatory skill sets: 

• 4–5 years of Python backend development with: 

• FastAPI, asynchronous Python, RESTful API design 

• SQLAlchemy, Alembic, Postgres, strong SQL fundamentals 

• Redis (caching/queues), multiprocessing/multithreading 

• Unit testing with PyTest; performance testing with Locust 

• Pandas for data handling where applicable 

• Microservice architecture (Kubernetes, NGINX Ingress Controller) 

• Observability with Prometheus and Grafana 

• Performance engineering in Python (profiling, optimization) 

• Docker; Bash; Git 

• Python dependency management (Poetry, venv, pip) 

• Strong grounding in data structures and algorithms 

Preferred skill sets: 

• Working knowledge of Golang or Node.js (optional) 

• Experience with Redis Streams/RQ/Celery or similar 

• API security (OAuth2/OIDC), rate limiting, zero‑trust patterns 

• CI/CD and IaC (e.g., GitHub Actions, ArgoCD, Helm, Terraform) 

• Cloud reliability patterns (circuit breakers, backoff, caching)