Python -Technical Lead /Architect

• Design, develop, and maintain scalable applications using Python
• Develop RESTful APIs, microservices, and enterprise backend services.
• Lead technical architecture, application design, and implementation.
• Contribute to hands-on coding, debugging, code reviews, and performance optimization.
• Collaborate with product, engineering, and cross-functional teams.
• Mentor developers and promote engineering best practices.
• Support cloud-based applications, databases, and CI/CD processes.
• Ensure application performance, scalability, security, and reliability.

The ideal candidate combines strong backend engineering capabilities with full-stack development knowledge and the ability to lead technical design and development initiatives., * Python - Strong hands-on development experience (Mandatory)

• Strong experience with RESTful APIs and microservices.
• Experience designing and developing scalable enterprise applications.
• Understanding of full-stack architecture and frontend/backend integration.
• Experience with SQL or NoSQL databases.
• Familiarity with AWS, Azure, or Google Cloud Platform.
• Knowledge of Git, CI/CD, and Agile development practices.
• Experience in technical leadership, architecture, code reviews, and mentoring developers.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Healthcare domain experience, particularly healthcare payer systems.
• Experience with Spring Boot.
• Experience with React or Angular.
• Knowledge of Docker and Kubernetes.
• Understanding of healthcare claims processing or benefits administration.
• Familiarity with healthcare data security and HIPAA compliance., * 10+ years of software engineering with significant depth in distributed systems
• Expert-level Python plus Go or Java
• Deep hands-on AWS experience, including containers on EKS / Kubernetes
• Infrastructure-as-code with Terraform, CloudFormation or Ansible
• Distributed systems fundamentals: consistency, fault tolerance, messaging (Kafka, SQS/SNS) and data partitioning
• Experience leading technical projects or small teams
• Daily use of AI development tools (Claude Code, GitHub Copilot, Cursor) and working knowledge of LLM patterns such as RAG, embeddings and MCP
• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field

Nice to have

• US health plan / payer experience: claims, enrollment, benefits, HIPAA
• Red Hat OpenShift experience
• Node.js
• HL7, FHIR or X12 EDI
• Consulting or client-facing experience