Lead Software Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

9h•$112,700 - $193,200•Remote

About The Position

As a Lead Software Engineer within the Growth Office – Modernization & AI Acceleration, you will play a key role in designing, developing, and deploying a scalable, cloud-based platform that accelerates modernization and AI adoption across the organization. You will collaborate closely with engineering, data science, product, and business stakeholders to translate strategic initiatives into secure, high-performance technical solutions. This role combines hands-on engineering, technical leadership, and AI enablement to deliver meaningful business outcomes. 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

5+ years of experience as a software engineer or technical developer delivering cloud-based solutions
5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud
5+ years of programming experience in Golang, Python, JavaScript, or Java
1+ years of experience with security and compliance in cloud environments
Experience building distributed systems and cloud-native applications
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Nice To Haves

1+ years of hands-on experience with Generative AI and LLM-based solutions
Experience mentoring or leading engineers
Familiarity with DevOps, CI/CD pipelines, and cloud monitoring tools
Demonstrated passion for continuous learning in cloud and AI technologies
Solid problem-solving and analytical skills with the ability to propose innovative solutions
Excellent communication and collaboration skills across technical and non-technical teams

Responsibilities

Design, develop, and deploy a cloud-based solutions with a focus on scalability, reliability, performance, and security
Collaborate with business and technical stakeholders to understand requirements and translate them into robust technical solutions
Contribute to architecture and technical design, including technology selection, infrastructure decisions, and integration patterns
Establish and maintain coding standards, best practices, and quality assurance processes
Conduct code reviews, provide constructive feedback, and mentor engineers on modern engineering practices
Partner with cross-functional teams including data scientists, product managers, and UI/UX designers
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced AI solutions
Translate business needs into scalable AI applications that enhance products, workflows, and decision-making
Monitor and optimize platform performance and resource utilization
Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations
Stay current with advancements in cloud technologies, AI/ML frameworks, and Generative AI