Lead 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 Lead Software Engineer leads the design, development, and delivery of large-scale software solutions, ensuring alignment with business goals and technical requirements. This role defines software architecture and technical strategy, oversees the full software development lifecycle from initial concept through production deployment and ongoing maintenance, and ensures applications are highly available, performant, secure, and scalable.

This individual provides technical leadership and mentorship to a team of engineers, fostering a collaborative and productive development environment, and partners closely with product managers, designers, and other stakeholders to prioritize work and deliver on schedule. 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

Technical Leadership and Delivery

• Lead the design, development, and delivery of large-scale software solutions, ensuring alignment with business goals and technical requirements.

• Provide technical leadership and mentorship to the engineering team, fostering a collaborative and productive development environment.

• Oversee the entire software development lifecycle, from initial concept to production deployment and ongoing maintenance.

• Collaborate closely with product managers, designers, and other stakeholders to prioritize work, set timelines, and deliver features on schedule.

Architecture and Engineering Excellence

• Define and implement software architecture and technical strategy for new and existing projects.

• Ensure high availability, performance, and scalability of applications through effective system design and optimization.

• Conduct code reviews and ensure adherence to coding standards, best practices, and security guidelines.

• Drive continuous improvement initiatives, including automation, testing frameworks, and DevOps practices to increase team efficiency.

• Troubleshoot and resolve complex technical issues, identifying root causes and providing long-term solutions.

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, engineering playbooks, and AI-assisted development patterns to benefit the broader engineering organization.

• Partner with architecture, security, and platform teams to integrate AI-enabled capabilities into enterprise applications.

• Design systems that effectively leverage AI services, APIs, agents, and automation capabilities where appropriate.

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

• 7+ years of professional software development experience, with a strong focus on building large-scale, distributed systems.

• 2+ years of experience leading teams of 3+ software engineers.

• Expertise in multiple programming languages, including but not limited to C#, Java, or Python, and deep knowledge of their frameworks.

• 6+ 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).

• Strong command of design patterns and SOLID principles.

• Proven experience with software architecture design, including microservices, cloud-native applications, and event-driven systems.

• Experience developing Single Page Applications (SPA) using React, Angular, or Vue.

• Strong understanding of cloud platforms (Azure, AWS, Google Cloud) and infrastructure-as-code tools such as Terraform or CloudFormation.

• Hands-on experience with CI/CD pipelines, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).

• Experience using GitHub, Azure Git, or other Git-based source control systems.

• Excellent leadership and communication skills, with the ability to manage and mentor a team of engineers.

• Experience in Agile development methodologies and working in cross-functional, globally distributed teams.

• Strong problem-solving skills, with the ability to resolve complex technical challenges and make critical decisions under pressure.

Preferred Qualifications

• Experience using 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 integrating AI services, models, or agents into production applications.

• Experience working with NoSQL data stores (e.g., Elasticsearch).

• Healthcare domain experience.

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.

#EvolentAi

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Technical Requirements:

We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.

Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruitingteam@evolent.com for further assistance.