Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
This Grade 28 leadership role will manage and mentor a team of engineers while remaining hands-on across solution design, full-stack development, implementation and production issue resolution. The successful candidate will combine strong engineering leadership with current technical depth in Azure, .NET, Python, React, HTML and CSS, GitHub-based delivery practices and responsible use of AI-assisted engineering tools.
Primary Responsibilities
- Lead, coach and develop a high-performing engineering team, setting clear priorities, ownership expectations, engineering standards and individual growth plans
- Balance people leadership with hands-on contribution across architecture, design, coding, code reviews, debugging and resolution of complex engineering issues
- Own the end-to-end engineering delivery plan for product capabilities, including estimation, sequencing, dependencies, risks, milestones, implementation and production readiness
- Guide solution and application design for secure, scalable, maintainable and resilient products hosted on Microsoft Azure
- Design and develop backend services, APIs and integrations using .NET and Python
- Design and develop responsive, accessible and maintainable user experiences using React, HTML and CSS
- Ensure effective integration between frontend, backend, data, cloud and external services across the full product lifecycle
- Establish strong GitHub engineering practices, including repository management, branching, pull requests, peer reviews, quality checks and release traceability
- Promote the responsible and effective use of AI tools for software design, development, testing, documentation, troubleshooting and engineering productivity, with appropriate human review and security controls
- Partner with product management, architecture, user experience, quality engineering, DevOps, security and business stakeholders to translate product needs into executable engineering outcomes
- Lead implementation and release readiness, ensuring environments, deployment plans, validation, rollback approaches, support coverage and stakeholder communications are in place
- Analyze application, platform and integration logs to isolate failures, identify root causes, implement fixes and prevent recurrence
- Drive engineering quality through design reviews, coding standards, automated testing, observability, performance analysis, security practices and technical debt management
- Mentor engineers through technical guidance, pairing, constructive feedback and opportunities to lead design and delivery
- Create realistic plans, manage changing priorities and communicate delivery status, risks, trade-offs and decisions clearly to stakeholders
- Foster a culture of ownership, curiosity, rapid learning, collaboration, continuous improvement and customer-focused product engineering
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology or a related field, or equivalent practical experience
- 12+ years of overall software engineering experience, including meaningful experience leading or managing engineering teams
- Solid hands-on full-stack development experience across frontend and backend technologies in production software projects
- Solid experience with Microsoft Azure cloud services and cloud-native application design, deployment, security, monitoring and scalability concepts
- Solid backend engineering experience using NET and Python, including API development, integrations and service-oriented application patterns
- Solid frontend engineering experience using React, HTML and CSS, including responsive design, component development and frontend integration
- Experience with GitHub-based source control, pull requests, code reviews, branching strategies and collaborative development workflows
- Practical experience using AI-assisted engineering tools to improve design, coding, testing, documentation, learning or troubleshooting, with awareness of responsible-use considerations
- Solid understanding of product development and implementation across discovery, design, build, test, release and post-production support
- Solid foundation in software design principles, secure coding, automated testing, maintainability, performance and operational readiness
- Demonstrated strength in planning, estimation, prioritization, dependency management, risk management and execution across multiple workstreams
- Demonstrated ability to analyze logs, debug complex issues across application layers, determine root causes and deliver durable fixes
- Demonstrated excellent communication, stakeholder management, collaboration, mentoring and decision-making skills
- Demonstrated ability to learn new technologies and business domains quickly and apply them effectively
- Proven ability to manage and mentor engineers while contributing directly to design, development, code reviews, debugging and implementation
Preferred Qualifications
- Advanced degree or relevant Azure, engineering or AI certifications
- Relevant Microsoft Azure, software engineering or AI certifications
- Experience developing products in a large, regulated enterprise environment, preferably health care or financial services
- Experience with Azure application services, containers, serverless architectures, managed databases, identity, messaging and observability capabilities
- Experience with microservices, event-driven architecture, API management, caching and distributed application patterns
- Experience with CI/CD, automated quality gates, DevSecOps practices and cloud deployment automation
- Experience with production support, performance tuning, reliability engineering and secure software delivery
- Knowledge of generative AI application patterns, prompt engineering, retrieval-augmented generation or integration of AI capabilities into software products
Key Technologies and Practices
Microsoft Azure | .NET | C# | Python | React | HTML | CSS | REST APIs | GitHub | Full-Stack Development | Product Engineering | AI-Assisted Development | Software Design | Debugging | Log Analysis | Implementation | Mentoring
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.