Manager of Software Engineering

HealthEquity is on a mission to save and improve lives by empowering healthcare consumers. The Manager of Software Engineering will lead a team responsible for building, modernizing, and operating software solutions for HealthEquity’s COBRA platform, ensuring platform stability while executing a long-term technical modernization strategy.

Responsibilities:

• Lead a blended onshore and offshore engineering team, remain hands‑on in technical decision‑making, and turn business and regulatory requirements into clear, executable technical outcomes
• Balance day‑to‑day platform operations with longer‑term modernization efforts, embedding Agentic AI into how the team builds, tests, modernizes, and supports software
• Remain hands‑on with system design, architecture, code reviews, and complex problem solving across the application stack
• Lead the technical modernization of the COBRA platform, balancing near‑term regulatory and operational commitments with long‑term architectural health
• Define, sequence, and execute a pragmatic modernization roadmap, applying incremental modernization patterns while maintaining production stability
• Ensure engineering practices meet HealthEquity standards for code quality, security, performance, test automation, and maintainability
• Oversee the design and governance of data warehouse solutions that support COBRA platform reporting, compliance, and operational analytics needs
• Lead the evaluation, optimization, and modernization of SSIS/SSRS/ETL jobs, ensuring reliable, auditable data movement across source systems, staging layers, and reporting environments
• Embed Agentic AI into software development and support workflows to accelerate legacy code comprehension and documentation, test design, automation, and maintenance, refactoring and modernization efforts, and production support, incident analysis, and defect resolution
• Ensure AI usage is secure, compliant, auditable, and aligned with enterprise governance
• Set expectations that AI is a force multiplier for disciplined engineers, not a substitute for sound technical judgment or accountability
• Lead, coach, and develop a hybrid onshore and offshore engineering team, establishing clear roles, ownership boundaries, and performance expectations
• Own sprint execution, capacity planning, and throughput, ensuring effective utilization of internal teams and vendor partners
• Provide clear technical direction, unblock delivery risks, pressure‑test estimates, and ensure predictable execution against commitments
• Foster a culture of accountability, technical rigor, continuous improvement, and professional growth
• Maintain shared accountability for production stability, availability, and performance of COBRA platform
• Participate in incident response, root cause analysis, and post‑incident reviews, ensuring corrective actions are identified and implemented
• Ensure operational readiness, monitoring, documentation, and support handoffs meet HealthEquity standards
• Balance delivery velocity with operational risk management in a regulated environment
• Partner closely with Product and Business stakeholders to align technical plans with business priorities and regulatory obligations
• Collaborate with Architecture, Security, and Compliance to ensure solutions align with enterprise standards and risk policies
• Communicate progress, risks, tradeoffs, and outcomes clearly to leadership and stakeholders

Requirements:

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• 8+ years of professional software engineering experience, including hands‑on work in complex or legacy systems
• 2+ years in a technical leadership role (Engineering Manager, Tech Lead, Principal Engineer, or Staff Engineer)
• Demonstrated ability to lead teams while remaining technically credible and engaged
• Experience working effectively with globally distributed and offshore delivery teams
• Embed Agentic AI into software development and support workflows to accelerate legacy code comprehension and documentation, test design, automation, and maintenance, refactoring and modernization efforts, and production support, incident analysis, and defect resolution
• Ensure AI usage is secure, compliant, auditable, and aligned with enterprise governance
• Set expectations that AI is a force multiplier for disciplined engineers, not a substitute for sound technical judgment or accountability
• Lead, coach, and develop a hybrid onshore and offshore engineering team, establishing clear roles, ownership boundaries, and performance expectations
• Own sprint execution, capacity planning, and throughput, ensuring effective utilization of internal teams and vendor partners
• Provide clear technical direction, unblock delivery risks, pressure‑test estimates, and ensure predictable execution against commitments
• Foster a culture of accountability, technical rigor, continuous improvement, and professional growth
• Maintain shared accountability for production stability, availability, and performance of COBRA platform
• Participate in incident response, root cause analysis, and post‑incident reviews, ensuring corrective actions are identified and implemented
• Ensure operational readiness, monitoring, documentation, and support handoffs meet HealthEquity standards
• Balance delivery velocity with operational risk management in a regulated environment
• Partner closely with Product and Business stakeholders to align technical plans with business priorities and regulatory obligations
• Collaborate with Architecture, Security, and Compliance to ensure solutions align with enterprise standards and risk policies
• Communicate progress, risks, tradeoffs, and outcomes clearly to leadership and stakeholders
• Background as a Principal or Staff Engineer transitioning into people leadership
• Experience modernizing legacy, regulated platforms (financial services, benefits administration, insurance, healthcare)
• Strong experience with enterprise application stacks (e.g., .NET, Java, relational databases, batch and integration patterns)
• Practical experience applying AI‑assisted or agent‑based development practices in real engineering environments
• Experience with data warehouse architecture and data modeling in support of regulated reporting and operational analytics
• Proficiency with SSIS for enterprise data integration, including design of complex ETL workflows, error handling strategies, and deployment across environments
• Experience building and maintaining SSRS reports and data sources in an enterprise setting, with an understanding of report performance, security, and lifecycle management
• Familiarity with ETL modernization approaches, including assessment of legacy SSIS workloads for migration to cloud-based or modern integration platforms