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.
~ Robust 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

📌 Python AWS Developer (Remote) (India)
🏢 Cognisol
📍 India