Python Developer

1 day ago

haryana, India Recro Full time

About the job 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.

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