Core Senior .NET Software Engineer

Your Future Evolves Here
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
What You’ll Be Doing:
Position Summary
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements high-performance APIs and microservices that support critical business functions, and works closely with product managers, UX designers, and other engineers to translate business needs into technical solutions.
This individual drives the technical vision for projects, contributes to architectural discussions and long-term planning, and mentors junior engineers to foster a culture of continuous learning and technical excellence. The role is expected to use approved AI-assisted tools to accelerate delivery and improve quality while remaining fully accountable for every result delivered.
AI-Assisted Engineering Expectations
Evolent engineers are expected to effectively leverage approved AI-assisted development and productivity tools (e.g., code assistants, copilots, automation agents, knowledge assistants, and analytics tools) to improve quality, efficiency, and innovation while maintaining accountability for all delivered work. These expectations span the full engineering lifecycle, not only code generation, including iterating with AI on solution design and architecture, evaluating alternatives, revising existing architecture, and producing design artifacts. Engineers remain responsible for validating outputs, ensuring solution quality, protecting sensitive information, and complying with security, privacy, regulatory, and Responsible AI standards.
Key Responsibilities
Design and Development
• 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.
• Drive the technical vision for projects, contributing to architectural discussions and long-term planning.
Engineering Excellence
• Conduct thorough code reviews, provide constructive feedback and ensure 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.
AI-Enabled Delivery
• 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, documentation, and operational support.
• Evaluate and validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness.
• Continuously identify opportunities to improve engineering productivity and solution quality through AI-enabled workflows and automation.
• Contribute reusable prompts, skills, agents, and AI-assisted development patterns to benefit the team.
• Partner with architecture, security, and platform teams to integrate AI-enabled capabilities into enterprise applications.
Governance and Compliance
• 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.
Required Qualifications
• 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.
• 5+ years of hands-on experience with Microsoft and .NET technologies, specifically .NET Core, C#, and T-SQL.
• Experience building scalable and performant RESTful APIs using ASP.NET.
• Relational database development experience, preferably using SQL Server.
• Experience with at least one testing framework (e.g., xUnit, NUnit, MSTest), logging framework (e.g., NLog, log4net, Serilog), and ORM framework (e.g., Dapper, Entity Framework, NHibernate).
• Deep understanding of software architecture patterns, such as microservices, event-driven architecture, and RESTful API design.
• Strong knowledge of cloud computing platforms (e.g., Azure, AWS, Google Cloud) and container orchestration tools such as Docker and Kubernetes.
• Expertise in database design and optimization for both SQL and NoSQL databases.
• Experience using GitHub, Azure Git, or