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Python Developer

Python Developer

Recrobhopal, madhya pradesh, in
28 days ago
Job description

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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    Python Developer • bhopal, madhya pradesh, in

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