Lead Director, Software Development Engineering

What you'll do

• Design and oversee the build-out and operations of complex distributed systems at scale.
• Direct and evaluate the work of data, software, and machine learning engineers.
• Develop strategies for integrating predictive models, LLMs, and vector search into cloud applications.
• Recruit, manage, and mentor a high-performing engineering team while fostering a supportive culture.
• Lead teams from strategy through delivery on complex and highly visible engineering projects.
• Establish KPIs and OKRs to provide quantitative insights and improve internal processes.
• Collaborate with cross-functional teams to develop solutions that meet security, infrastructure, and governance guidelines.
• Communicate technical progress, challenges, and risks to senior management and non-technical stakeholders.

What we're looking for

• 10+ years as a hands-on software development engineer.
• 5+ years designing and building high-volume distributed software systems.
• 5+ years recruiting, managing, and retaining a high-performing team of software development professionals in an agile environment.
• 2+ years developing containerized software applications in public cloud.
• 2+ years exposure to analytics, data engineering, and machine learning lifecycle, tools, and best practices.
• 2+ years designing, building, and operating real-time streaming systems and associated system-building blocks.
• 1+ year managing engineering managers.
• 1+ year using generative AI as an integrated component in software solutions.
• 1+ year in the healthcare or health insurance industry with deep understanding of the health care value chain.
• Bachelor’s degree in a software discipline, or equivalent work experience.
• Master’s degree (preferred).
• Strong experience in web services, microservice, and service-oriented architectures (preferred).
• Expert in Python, Java, Go, .NET, SQL, and relational or non-relational database management systems (preferred).
• Ability to diagram complex software architectures and communicate complex engineering ideas to non-technical stakeholders (preferred).
• Strong understanding of cloud-based technologies (GCP, Azure, AWS) and experience with Agile, SAFE, Kanban, and Lean practices (preferred).