Director, Software Engineering - Remote

UnitedHealth Group•Fort Worth, TX
•$134,600 - $230,800•Remote

About The Position

Optum Insight is focused on improving the flow of health data and information, reducing friction between care providers and payers, and improving outcomes for consumers. As Director of Software Engineering within Optum Insight Engineering AI, you will lead an organization of approximately 60 software engineers, including three Senior Engineering Managers. You will define and execute an engineering strategy focused on AI-first applications, modern platform architecture, streamlined healthcare workflows, and legacy modernization. The role advances innovation through Generative AI, AWS and Azure cloud platforms, and modern engineering practices, translating complex technology into business strategy and delivering scalable enterprise solutions. The role is remote within the U.S. For hires in the Minneapolis or Washington, D.C. area, a minimum of four days per week in the office is required. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The position offers a salary range of $134,600 to $230,800 annually based on full-time employment, along with benefits and incentive programs subject to eligibility requirements.

Requirements

  • At least 7 years of experience in software engineering or a related technical field.
  • At least 3 years of people leadership experience overseeing engineering managers and/or multiple engineering teams.
  • 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.

Nice To Haves

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
  • 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.
  • Success in legacy system modernization, technology stack migrations, and process optimization.
  • Experience partnering with Product Management and Architecture teams.

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, and foster a collaborative, high-performing culture.
  • Build and deploy AI-powered and Generative AI solutions for 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 business outcomes and client solutions.

Benefits

  • Comprehensive benefits package, subject to eligibility requirements.
  • Incentive and recognition programs.
  • Equity stock purchase program.
  • 401(k) contribution.
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