Manager, Software Engineering

Evolent Health LLC partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Manager, Software Engineering leads and contributes to the software engineering team, overseeing scalable software delivery, technical guidance, and cross-functional coordination. The role also supports governed data platforms and AI-enabled engineering practices.

Responsibilities:

• Player-coach role. Assist in managing day-to-day activities of the software engineering team, ensuring alignment with project goals and timelines. Deliver along with the team
• Provide technical guidance and mentorship to team members to support their professional growth
• Collaborate with stakeholders to gather requirements, define project scope, and create technical roadmaps
• Oversee the design, development, and deployment of scalable software solutions
• Conduct code reviews to ensure adherence to best practices, quality standards, and coding guidelines
• Participate in troubleshooting and resolving software issues to maintain system performance and reliability
• Promote the adoption of agile methodologies and contribute to continuous process improvements
• Coordinate with cross-functional teams to ensure seamless integration of software components
• Prepare and present project status updates to leadership and stakeholders
• Apply AI-assisted engineering techniques across the full delivery lifecycle, including requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring
• Iterate with AI on solution design and architecture, evaluating alternatives, revising existing architecture, and producing design artifacts for review
• Set the standard for validating AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness, including when reviewing the AI-assisted work of other engineers
• Design and support data platforms and governed datasets that enable machine learning, analytics, and generative AI workloads
• Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns that benefit the broader engineering organization
• Ensure AI usage complies with enterprise policies for intellectual property protection, security, privacy, PHI handling, and Responsible AI standards

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in software development, with at least 1+ years in a team leadership role
• Proficiency in one or more programming languages, such as C# or Python, and relevant frameworks
• Experience with modern software development methodologies, including Agile or Scrum
• Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
• Knowledge and experience with modern data engineering patterns (e.g., Data Vault, dimensional modeling, data products, lakehouse architecture, feature flags, event-driven systems, DAGs)
• Strong problem-solving and analytical skills, with attention to scalability and performance
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams
• Familiarity with version control systems like Git and CI/CD tools for deployment automation
• A proactive approach to leadership, fostering a positive and inclusive team environment
• Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production work
• Strong prompt engineering skills, with experience in AI-assisted testing and AI-enabled delivery practices
• Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques
• Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions