Director, Software Engineering - Remote

Optum Insight is hiring a Director of Software Engineering to lead an organization of approximately 60 engineers and set engineering strategy. The role focuses on AI-first applications, cloud architecture, healthcare workflow improvements, legacy modernization, and scalable enterprise solutions.

Responsibilities:

• Define and execute an engineering strategy aligned with AI-first priorities, continuous innovation, and technology modernization across healthcare products
• Lead and develop an engineering organization of approximately 60 employees, including three Senior Engineering Managers, while fostering a collaborative, high-performing culture
• Build and deploy AI-powered and Generative AI solutions that address complex business needs while applying responsible AI practices
• Use enterprise-approved AI tools to automate engineering tasks, simplify workflows, and improve operational performance
• Oversee secure, scalable, and cost-efficient AWS and Azure cloud architectures that follow enterprise standards
• Lead legacy modernization, cloud migration, and process improvement across high-value engineering portfolios
• Assess emerging technologies to guide solution design, architecture decisions, and strategic roadmaps
• Manage engineering budgets, optimize cloud operating costs, and oversee third-party vendor relationships
• Partner with Product Management, Architecture, and executive stakeholders to translate technical strategy into clear business outcomes and client solutions

Requirements:

• 7+ years of experience in software engineering or a related technical field
• 3+ years of people leadership experience overseeing engineering managers and/or multiple engineering teams
• Proven solid knowledge of modern software development, cloud platforms, and distributed systems
• Demonstrated success delivering complex software solutions at enterprise scale
• Experience managing complex, high-value portfolios that serve external clients
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline
• Proven expertise leading the development and deployment of GenAI and AI-powered solutions using low-code, no-code, and advanced platforms
• Experience with infrastructure as code tools, such as Terraform or CloudFormation
• Proficiency in programming languages such as Java, Go, or Python, and containerization technologies such as Docker and Kubernetes
• Familiarity with CI/CD pipelines, DevOps practices, and site reliability engineering principles
• Demonstrated success in legacy system modernization, technology stack migrations, and process optimization
• Proven experience partnering with Product Management and Architecture teams