Sr Software Engineer

Evolent partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Senior Software Engineer will lead the design, development, deployment, and technical direction of scalable software solutions, APIs, and microservices while mentoring engineers and improving development practices. The role also involves troubleshooting production systems and applying AI-assisted development techniques across the software lifecycle.

Responsibilities:

• Lead the design, development, and deployment of complex software solutions, ensuring scalability and maintainability
• Architect and implement high-performance APIs and microservices that support critical business functions
• Collaborate closely with cross-functional teams, including product managers, UX designers, and other engineers, to translate business needs into technical solutions
• Conduct thorough code reviews, providing constructive feedback and ensuring adherence to best coding practices
• Mentor and coach junior engineers, fostering a culture of continuous learning and technical excellence
• Identify and implement improvements to the software development lifecycle, including automation, testing, and CI/CD pipelines
• Troubleshoot and resolve production issues, working to ensure high availability and reliability of services
• Evaluate and integrate new tools, frameworks, and technologies to improve development processes and team productivity
• Drive the technical vision for projects, contributing to architectural discussions and long-term planning
• Apply AI-assisted development techniques throughout the software development lifecycle, including requirements analysis, coding, testing, debugging, documentation, and operational support

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• 5+ years of professional software development experience, with a proven track record of delivering complex, scalable applications
• Proficiency in multiple programming languages, such as C#, Java, or Python and familiarity with their ecosystems
• Deep understanding of software architecture patterns, such as microservices, event-driven/clean architecture, and RESTful API design
• Experience with building and maintaining legacy ASP.NET web applications
• Strong knowledge of cloud computing platforms (e.g., Azure, AWS, Google Cloud) and container orchestration tools like Docker and Kubernetes
• Expertise in database design and optimization for both SQL and NoSQL databases
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical issues quickly
• Strong communication skills, with the ability to lead technical discussions, present to stakeholders, and write detailed documentation
• Experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools
• Experience integrating AI services, models, or agents into production applications