Software Engineer

Evolent Health LLC partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Software Engineer develops, tests, and maintains software applications, collaborates with cross-functional and globally distributed teams, and uses approved AI-assisted tools throughout the engineering lifecycle while ensuring quality and compliance.

Responsibilities:

• Design, develop, test, and maintain software applications for assigned features using modern programming languages and frameworks
• Collaborate with product managers, designers, and other engineers to understand requirements and translate them into technical specifications
• Write clean, maintainable, and efficient code, following the team’s established best practices, patterns, and coding standards
• Write unit, integration, and end-to-end tests to ensure code quality and reliability
• Contribute to the design and implementation of enhancements to the team’s systems
• Participate in code reviews to ensure code quality, functionality, and maintainability, and seek feedback to continuously improve skills
• Troubleshoot, debug, and resolve technical issues and bugs in a timely manner
• Optimize applications for performance, scalability, and reliability
• Follow and help reinforce the team’s development processes and standards, helping peers understand the benefits and risks of exceptions
• Contribute to the continuous improvement of development processes, tools, and methodologies, and stay current with emerging technologies and industry trends
• Utilize approved AI-assisted engineering tools to accelerate software development, testing, documentation, troubleshooting, and analysis activities
• Apply AI-assisted development techniques throughout the software development lifecycle, including requirements analysis, coding, testing, debugging, and documentation
• Evaluate and validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness before use
• Learn and adopt the prompts, skills, agents, and AI-assisted development patterns defined by the team, and share improvements that benefit the team
• Identify opportunities to improve engineering productivity and quality through AI-enabled workflows and automation
• Follow enterprise policies governing AI usage, intellectual property protection, security, privacy, PHI handling, and Responsible AI practices
• Ensure no confidential, regulated, or protected information is used with unapproved AI services or tooling
• Participate in peer reviews and validation processes for AI-assisted solutions

Requirements:

• 2+ years of professional software development experience using languages such as C#, Java, Python, or JavaScript
• 2+ years of hands-on experience with Microsoft and .NET technologies, specifically .NET Core, C#, and T-SQL
• Experience building RESTful APIs using ASP.NET
• Working knowledge of relational database development, preferably using SQL Server
• Familiarity with testing frameworks (e.g., xUnit, NUnit, MSTest), logging frameworks (e.g., NLog, log4net, Serilog), and ORM frameworks (e.g., Dapper, Entity Framework, NHibernate)
• Strong understanding of software design principles, algorithms, and data structures
• Familiarity with Git-based version control (e.g., GitHub, Azure Git) and collaborative coding workflows, including pull requests
• Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and containerization tools (e.g., Docker, Kubernetes)
• Excellent problem-solving skills and the ability to work independently and as part of a globally distributed team
• Strong communication skills, openness to feedback, and the ability to articulate technical concepts to both technical and non-technical stakeholders
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• Exposure to AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools
• Familiarity with prompt engineering, AI-assisted testing, and AI-enabled software delivery practices
• Experience with front-end frameworks (e.g., React, Angular, Vue), including developing Single Page Applications (SPA)
• Experience with additional back-end technologies (e.g., Node.js, Django, Spring)
• Familiarity with microservices architecture
• Experience working with NoSQL data stores (e.g., Elasticsearch)
• Healthcare domain experience