> Markdown version of [/jobs/ext/4156615-tech-lead-python-aws-ai-assisted-engineering-claims-healthcare-domain](https://www.wearedevelopers.com/jobs/ext/4156615-tech-lead-python-aws-ai-assisted-engineering-claims-healthcare-domain). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Tech Lead (Python, AWS & AI-Assisted Engineering) (Claims/Healthcare Domain) - **Company:** Tech Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Application Performance Management, Automation of Tests, Code Generation, Software Quality, Code Review, Continuous Integration, Cursor, Software Debugging, DevOps, Python (Programming Language), Performance Tuning, Software Tools, Software Deployment, Software Engineering, Information Security Management System, Spring Cloud, GitHub Copilot, Claude Code, Software Security, Backend, Agentic-AI, Software Coding, Restful APIs, Golang, Microservices - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=de042dd5b19329cf ## About the Role Prior experience or strong domain knowledge in Claims or Healthcare., We are seeking an experienced Tech Lead to drive technical design, hands-on development, and engineering excellence for applications supporting Claims and Healthcare business processes. The ideal candidate will have strong Python development skills, hands-on AWS experience, and practical knowledge of AI-assisted engineering tools to improve developer productivity and code quality. This is a hands-on technical leadership role involving solution design, code reviews, application development, team mentoring, and end-to-end delivery of secure, scalable, and reliable cloud-native applications., Strong proficiency in Python backend development. - Hands-on experience designing, building, and operating applications on AWS. - Experience with REST APIs, microservices, and backend application integration. - Practical experience with AI-assisted engineering tools such as Claude Code, GitHub Copilot, Cursor, or equivalent. - Strong understanding of solution design, code reviews, automated testing, CI/CD, application security, and observability. - Experience with production deployments, debugging, and performance optimization. Good-to-Have Skills - Experience with Go (Golang). - Familiarity with agentic AI workflows, AI-assisted test generation, and cloud-native monitoring. Leadership & Communication - Strong analytical, problem-solving, and decision-making skills. - Ability to mentor developers and guide technical implementation. - Excellent communication, interpersonal, and stakeholder collaboration skills. - Proactive approach to resolving issues, learning new technologies, and implementing process improvements. ## Description Lead the design, development, and delivery of scalable backend services, REST APIs, and cloud-native applications using Python and AWS. - Translate business requirements into scalable and maintainable technical solutions. - Own technical design decisions and lead code reviews, ensuring code quality, testing, security, and observability. - Promote AI-assisted engineering using tools such as Claude Code, GitHub Copilot, and Cursor, including prompting, agentic workflows, and validation of AI-generated code. - Guide developers on architecture, coding standards, debugging, testing, and engineering best practices. - Implement and maintain CI/CD pipelines, automated testing, and deployment practices. - Troubleshoot production issues and improve application performance, reliability, and operational stability. - Collaborate with product owners, architects, QA, DevOps, and business stakeholders to deliver technical solutions. - Identify technical risks, manage dependencies, resolve blockers, and ensure production readiness. - Mentor engineers, encourage knowledge sharing, and drive continuous improvement. - Ensure adherence to application security standards and organizational ISMS policies.