Python Developer

What You'll Do

• Design and develop backend services and APIs using Python
  
  

(FastAPI/Django/Flask) with clean, testable code.

• Model data and build robust integrations with PostgreSQL (and Redis for
  
  

caching/queues).

• Implement asynchronous and high-throughput services; optimize performance and
  
  

memory usage.

• Own end-to-end API lifecycle: versioning, documentation (OpenAPI/Swagger), auth
  
  

(JWT/OAuth), and rate limiting.

• Write unit/integration tests with pytest, set quality gates (coverage, typing with
  
  

mypy/pyright).

• Containerize and deploy with Docker; collaborate closely with DevOps on CI/CD
  
  

(GitHub Actions) and AWS (EC2/ECS/EKS, S3, RDS).

• Build data pipelines and background jobs (Celery/RQ/APScheduler); ensure
  
  

observability (logs/metrics/traces).

• Participate in code reviews, design discussions, and agile rituals; contribute to
  
  

internal libraries and templates.

• Troubleshoot production issues during the on-call window and drive post-incident
  
  

improvements.

Must-have Skills

• 8+ years building production systems in Python (FastAPI/Django/Flask) with solid
  
  

OOP and typing.

• Strong SQL and PostgreSQL fundamentals (schema design, indexing, query
  
  

optimization).

• API design & implementation (REST; bonus for GraphQL),
  
  

authentication/authorization best practices.

• Testing with pytest, mocking, fixtures; CI with GitHub Actions (or similar).
• Proficiency with Docker and Linux; comfort reading application/infra logs to debug
  
  

issues.

• Performance-minded development (profiling, async I/O, caching strategies).
• Clear communication and ownership—able to deliver in a US-overlap schedule (5:00
  
  

PM – 2:00 AM IST).

Nice to have

• Async expertise (FastAPI, asyncio, Pydantic v2) and event-driven patterns
  
  

(Kafka/RabbitMQ/SQS).

• Experience with AWS (EC2, S3, RDS, IAM), Terraform, and basic Kubernetes
  
  

concepts.

• Background jobs (Celery/RQ), task orchestration (Airflow), or analytics tooling (dbt,
  
  

Snowflake).

• Search and data stores: Elasticsearch/OpenSearch, Redis, MongoDB.
• ML/GenAI integration experience (LangChain/LlamaIndex, vector DBs) or feature
  
  

flagging/experimentation.

• Security awareness (OWASP, secrets management) and compliance exposure (SOC
  
  

2/PCI).

Benefits

• 5-day work week
• Remote working
• Unlimited Paid Time Off (PTO)
• Focus on mental well-being
• Leadership & growth opportunities
  
  

Skills: python,cd,fastapi,oop,postgresql,api,pytest,mocking,github,async,celery,ci