Senior Python Developer

Zolon Tech-posted about 2 months ago
Full-time • Senior
Onsite • Aberdeen, MD
251-500 employees
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We are seeking a highly skilled Senior Python Developer with hands-on experience in building scalable backend systems and AI-powered applications. The ideal candidate will have deep expertise in Python, FastAPI, SQLAlchemy, containerized deployments (Docker), and cloud-native services, including AWS Bedrock and Anthropic Claude. You will play a key role in developing production-grade APIs, integrating LLMs, and ensuring high-performance data access and workflow orchestration.

  • Design and develop Python-based microservices and backend applications using FastAPI
  • Build and optimize database models, queries, and transactions using SQLAlchemy
  • Develop and integrate Generative AI and RAG-based solutions using AWS Bedrock, Claude, and other LLM APIs
  • Containerize and deploy applications using Docker, with knowledge of CI/CD pipelines
  • Implement secure, scalable, and maintainable API architectures
  • Integrate with cloud services (AWS preferred), including key services such as: AWS Bedrock (LLM integration) S3, Lambda, IAM, ECS/EKS, Secrets Manager (as applicable)
  • Write clean, testable, scalable code and enforce best practices
  • Implement logging, monitoring, and performance tuning for high-availability systems
  • Provide mentorship to junior developers and conduct code reviews
  • 6+ years of professional experience in backend development with Python
  • Strong experience with developing RESTFUL APIs using FastAPI
  • Strong experience with SQLAlchemy, relational databases like PostgreSQL, Oracle, etc.
  • Hands-on experience with LLM integration, including AWS Bedrock and Claude
  • Proven experience building and deploying Dockerized applications
  • Strong understanding of API design patterns, scalability, and security practices
  • Experience with AWS architecture
  • Familiarity with asynchronous programming (AsyncIO) and event-driven design
  • Ability to write unit/integration tests (PyTest or similar)
  • Git, CI/CD workflows, and code quality tooling
  • Experience with LangChain, vector databases (e.g., Pgvector, Pinecone, FAISS, Chroma)
  • Knowledge of AWS Lambda, ECS/EKS, CloudWatch, and RDS
  • Familiarity with Machine Learning workflows and data processing pipelines
  • Experience with API rate limiting, caching, and performance optimization
  • Terraform or Infrastructure-as-Code experience is a plus
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