Python Developer

Must-Have Experience

• 3.5+ years backend development in Python.

• FastAPI (preferred) or Flask with Pydantic models; OpenAPI/Swagger API design.

• Async programming (async/await), concurrency patterns, connection pooling, and

backpressure management.

• Database expertise with Amazon RDS (SQL Server/PostgreSQL) and Redis;

schema design, indexing, query optimization; migrations with Alembic.

• Event-driven architecture experience using Amazon SQS and Amazon SNS.

• API security and integration design with OAuth2/OIDC, JWT, and rate limiting.

• Containerized application development with Docker (deployment managed by

platform team on Amazon EKS).

• Testing: pytest, fixtures, mocks/stubs, contract tests, and load testing (k6/JMeter).

• Observability: OpenTelemetry, Datadog, structured logging, and actionable alerts.

• Solid understanding of secrets and identity management with AWS Secrets

Manager and Okta.

Nice to Have

• Built streaming chat endpoints (SSE/WebSockets) and function/tool-calling

adapters for AI services.

• Worked with OpenSearch Serverless, Bedrock Knowledge Base, or other vector

databases for RAG workflows.

• Experience integrating backend systems with AWS Bedrock models and NeMo

Guardrails for runtime safety.

• Exposure to Kong API Gateway, feature flags (LaunchDarkly/Flipt), or policy-as-

code (OPA).

• Multi-tenant controls (RBAC, quotas, usage metering) and enterprise-grade

integration patterns.

• Familiarity with enterprise APIs (SAP OData/BAPI, Salesforce REST/Graph,

ServiceNow).

Tech Stack (our core; equivalents welcome)

• Python 3.11+, FastAPI, Pydantic v2, SQLAlchemy 2.x, Alembic, pytest.

• Amazon SQS/SNS for messaging and events.

• Amazon RDS (SQL Server/PostgreSQL) for relational data, ElastiCache (Redis) for

caching.

• AWS Bedrock for model hosting and RAG services.

• Amazon S3 for data storage, Amazon ECR for container images.

• OpenSearch Serverless for vector storage and search.

• AWS Secrets Manager, Okta IAM for authentication and secrets.

• NeMo Guardrails on Amazon EKS for runtime safety.

• Datadog + OpenTelemetry for observability and monitoring.

• Kong API Gateway for service routing and access control.

• Custom RAG Service and LLM evaluation using Phoenix/Arize/Promptfoo.