Python Developer
1 week ago
About the jobMust-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, andbackpressure 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 byplatform 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 SecretsManager and Okta.Nice to Have• Built streaming chat endpoints (SSE/WebSockets) and function/tool-callingadapters for AI services.• Worked with OpenSearch Serverless, Bedrock Knowledge Base, or other vectordatabases for RAG workflows.• Experience integrating backend systems with AWS Bedrock models and NeMoGuardrails 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-gradeintegration 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) forcaching.• 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.
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