Lead Python Backend Developer – AWS & AI (Healthcare / Claims) Position: Lead Python Backend Developer – AWS & AI Experience: 12+ Years Employment Type: Full-Time Domain: Healthcare / Health Insurance / Claims – Mandatory About the Opportunity We are looking for a strong hands-on Python Backend Development Lead with extensive experience in AWS Cloud, Microservices, Distributed Systems, and AI-Assisted Development. The ideal candidate must have deep expertise in Python backend engineering, experience designing and developing scalable cloud-based applications, and proven experience working on healthcare or health insurance claims projects. This is a hands-on technical leadership role, requiring strong coding expertise, backend architecture skills, and the ability to guide engineering teams while contributing to technical design and development. Mandatory Technical Skills Strong Python Backend Development: Expert-level hands-on Python coding, backend application development, and technical problem-solving. AWS Cloud: Deep hands-on experience designing, developing, deploying, and supporting applications on AWS. Healthcare / Claims Domain: Mandatory experience working on healthcare, health insurance, or claims-related projects. REST APIs & Microservices: Strong experience designing and developing scalable backend services and API integrations. Distributed Systems: Experience building highly available, scalable, and fault-tolerant applications. AWS EKS / Kubernetes: Experience deploying and managing containerized applications. AI-Assisted Development: Hands-on experience using tools such as Claude Code, GitHub Copilot, Cursor, or similar AI coding tools. AI / LLM Knowledge: Working knowledge of LLM APIs, RAG, embeddings, and agentic development workflows. CI/CD & Automation: Experience with automated builds, testing, deployments, and infrastructure-as-code. Technical Leadership: Ability to lead technical design, review code, mentor developers, and drive engineering delivery.Key ResponsibilitiesLead the design and development of scalable backend applications using Python. Build and deploy cloud-native applications using AWS. Design and develop REST APIs, microservices, and distributed backend systems. Work on healthcare and claims-processing applications. Make technical architecture and design decisions focused on scalability, security, performance, and reliability. Develop and maintain containerized applications using AWS EKS / Kubernetes. Drive CI/CD automation, infrastructure-as-code, and engineering best practices. Use AI-assisted development tools to improve coding, testing, documentation, and engineering productivity. Guide the adoption of AI-assisted coding practices while maintaining security and data privacy standards. Participate in hands-on coding, technical design reviews, troubleshooting, and production issue resolution. Mentor engineers and provide technical leadership across development teams. Collaborate with product, business, and client stakeholders to deliver reliable software solutions. Required Qualifications12+ years of software engineering experience, including technical leadership experience. Expert-level Python backend development skills. Strong hands-on experience with AWS Cloud and cloud-native application architecture. Experience with AWS services such as Lambda, API Gateway, S3, ECS/EKS, RDS, DynamoDB, IAM, and CloudWatch. Strong experience in REST APIs, Microservices, and Distributed Systems. Experience with Docker, Kubernetes, and containerized deployments. Experience with Terraform, CloudFormation, or Ansible and CI/CD pipelines. Practical experience with AI-assisted coding tools and knowledge of LLM integration patterns. Healthcare / Claims project experience is mandatory. Experience leading technical projects, reviewing code, and mentoring engineering teams. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Preferred SkillsGo or Java backend development experience. Healthcare payer platforms, claims processing, enrollment, benefits, and HIPAA-aware applications. Red Hat OpenShift. Messaging systems such as Kafka, AWS SQS, or SNS. Node.js. HL7, FHIR, or X12 EDI. Consulting or professional services experience. Interested in Applying :