Sr Mgr, Software Engineering - Remote

Improve the lives of others while Caring. Connecting. Growing together.

Job Description
- Sr Mgr, Software Engineering
- Remote (2388890)

Sr Mgr, Software Engineering
- Remote - 2388890

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

As a Senior Manager of Software Engineering within the Medicare & Retirement organization, you will lead and empower high-performing software engineering teams responsible for driving critical system transformations and modernizing large-scale medical transaction batch processing systems. In this role, you will champion the strategic adoption of enterprise AI technologies and AI-driven Development Life Cycles (AI DLC) to accelerate software migration, optimize system performance, and solve complex architectural challenges.

Partnering closely with product management, enterprise architecture, and business leaders, you will define delivery roadmaps, foster a culture of engineering excellence, and uphold the highest standards for security, operational reliability, and responsible.

You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Lead and direct several software engineering teams within the Medicare & Retirement organization, building a high-performing culture of technical excellence and continuous innovation
• Strategically use AI technologies and AI-driven Development Life Cycles (AI DLC) to accelerate system migration, solve complex architectural challenges, and deliver tangible business value
• Champion AI as a core driver of team success, proactively shaping how AI tools, automation, and modern methodologies are developed, deployed, and utilized
• Integrate enterprise AI tools into daily engineering operations, set AI-focused goals in team development plans, align hiring with AI competencies, and actively remove adoption barriers
• Champion the ethical use of AI by embedding transparency, fairness, privacy, and accountability throughout the software development lifecycle
• Partner with product management, enterprise architecture, and business leaders to define migration roadmaps, technical milestones, and platform delivery plans
• Oversee code quality, CI/CD automation, system security, performance, and operational reliability across large-scale medical transaction batch processing systems
• Mentor, coach, and empower engineering leads and software engineers across teams to foster continuous professional growth and technical mastery

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• Bachelor's degree or 4+ years of equivalent software development experience
• 8+ years of software engineering experience leading the design, build, and deployment of enterprise-scale applications or data platforms
• 3+ years of technical leadership experience with direct people management, team building, and operational oversight across multiple engineering teams
• 3+ years of experience leading legacy platform modernization, data migration, or system transformation initiatives
• 3+ years of experience with cloud architectures (e.g., AWS, Azure, GCP), microservices, and high-volume batch processing systems
• 3+ years of experience operating within Agile software development frameworks and Dev Ops/CI/CD pipelines
• 2+ years of experience driving the adoption of AI technologies, machine learning solutions, or AI-assisted development practices within engineering teams
• Demonstrated experience utilizing AI-driven Development Life Cycles (AI DLC) to accelerate software migration, code refactoring, and automated testing
• Proven track record of managing multi-functional technical initiatives and communicating effectively with executive stakeholders
• Demonstrated deep understanding of responsible AI…