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Python Developer
Recroaurangabad, maharashtra, in28 days ago
Job descriptionDatabase expertise with Amazon RDS (SQL Server / PostgreSQL) and Redis; 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 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 Built streaming chat endpoints (SSE / WebSockets) and function / tool-calling Worked with OpenSearch Serverless, Bedrock Knowledge Base, or other vector Experience integrating backend systems with AWS Bedrock models and NeMo Exposure to Kong API Gateway, feature flags (LaunchDarkly / Flipt), or policy-as- Multi-tenant controls (RBAC, quotas, usage metering) and enterprise-grade Familiarity with enterprise APIs (SAP OData / BAPI, Salesforce REST / Graph, 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 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.
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.
schema design, indexing, query optimization; migrations with Alembic.
platform team on Amazon EKS).
Manager and Okta.
Nice to Have
adapters for AI services.
databases for RAG workflows.
Guardrails for runtime safety.
code (OPA).
integration patterns.
ServiceNow).
Tech Stack (our core; equivalents welcome)
caching.
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Python Developer • aurangabad, maharashtra, in
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