Lead Software Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

1d•$112,700 - $193,200•Remote

About The Position

As a Lead Software Engineer within the Chief Digital Office (CDO) Consumer Engineering team, you will drive the architectural direction, engineering excellence, and end-to-end delivery of scalable, secure, and highly available enterprise software solutions. You will provide technical leadership across engineering teams, champion modern cloud-native engineering practices, and build digital software platforms that directly improve consumer health experiences. In this role, you will partner closely with product managers, enterprise architects, and business stakeholders to translate complex requirements into reliable, high-performing applications while leveraging automation and enterprise-approved AI tools to drive continuous innovation. 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.

Requirements

8+ years of software engineering experience developing and supporting enterprise applications
5+ years of experience with modern programming languages such as Java, Python, C#, JavaScript, or similar technologies
5+ years of experience designing and implementing distributed systems, microservices, REST APIs, and event-driven architectures
5+ years of expertise in cloud platforms such as AWS, Azure, or Google Cloud
5+ years of experience with containerization and orchestration technologies such as Docker and Kubernetes
5+ years of understanding of software design patterns, scalability, resiliency, performance optimization, and system reliability
5+ years of experience implementing CI/CD pipelines, automated testing, DevOps, and infrastructure automation practices
3+ years of technical leadership experience leading engineering teams, projects, or major technology initiatives
1+ years of hands-on experience with prompt engineering experience using frontier LLM models

Nice To Haves

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
AWS, Azure, Kubernetes, or related technical certifications
Experience with healthcare technology, healthcare data, FHIR, interoperability, or regulated environments
Experience building enterprise platforms supporting high-volume, mission-critical workloads
Demonstrated solid analytical, problem-solving, communication, and stakeholder management skills
Experience with observability, monitoring, logging, and site reliability engineering practices
Experience mentoring engineers and building high-performing engineering teams
Experience driving platform transformation, modernization, and engineering productivity initiatives
Knowledge of AI/ML, data engineering, analytics, or cloud modernization initiatives
Demonstrated ability to lead complex technical initiatives from concept through production deployment

Responsibilities

Lead the design, development, implementation, and support of scalable, secure, and highly available enterprise software solutions
Provide technical leadership and architectural direction across multiple applications, platforms, and engineering teams
Collaborate with Product Managers, Architects, and business stakeholders to translate requirements into technical solutions and delivery plans
Drive end-to-end ownership of software delivery, including solution design, coding, testing, deployment, monitoring, and production support
Establish and enforce engineering standards, best practices, coding guidelines, and software quality controls
Lead code reviews, design reviews, and technical decision-making processes to ensure maintainable and high-performing solutions
Mentor and coach software engineers, fostering technical growth, innovation, and engineering excellence
Design and implement cloud-native, API-driven, and microservices-based solutions utilizing modern engineering patterns
Identify and resolve complex technical challenges, performance bottlenecks, and production issues
Drive DevSecOps, CI/CD, automation, observability, and operational excellence initiatives
Partner with cross-functional teams to ensure successful delivery of strategic business and technology objectives
Ensure compliance with enterprise security, privacy, governance, and regulatory requirements
Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
Leverage enterprise-approved AI tools to streamline software engineering workflows, automate tasks, and drive continuous improvement
Evaluate emerging technology trends and AI capabilities to inform solution design and strategic innovation