Lead Software Engineer

UnitedHealth Group•Plymouth, MN

3d•$91,700 - $163,700•Remote

About The Position

As a Lead Software Engineer within Optum Technology, you will design, develop, test, and deploy scalable enterprise software solutions focused on Generative AI and engineering productivity. You will build AI-powered applications, developer tools, and intelligent automation solutions to transform software delivery and operational efficiency. Working with architects, product owners, and cross-functional engineering teams, you will integrate AI capabilities into enterprise platforms and cloud services to deliver technology solutions that support healthcare delivery. The position offers telecommuting from anywhere within the U.S., subject to UnitedHealth Group’s Telecommuter Policy. You will help identify practical opportunities to apply AI, evaluate emerging technologies and practices, and ensure solutions meet enterprise standards for security, performance, reliability, maintainability, and scalability. You will also contribute to technical documentation, knowledge sharing, and continuous improvement, serving as a technical resource for AI adoption. The role offers development opportunities and performance-based recognition.

Requirements

Bachelor’s degree or equivalent work experience; 5 or more years of software engineering experience may substitute for a degree.
At least 5 years of professional software engineering experience designing and delivering enterprise cloud-based applications.
At least 5 years of experience with modern software engineering practices, including Git, CI/CD, automated testing, and DevOps.
At least 3 years of experience developing backend applications, services, or data integration solutions.
At least 3 years of experience with SQL, database design, data integration, and ETL concepts.
At least 1 year of hands-on experience with Generative AI, LLMs, AI-assisted development, or AI-powered applications.
Ability to independently analyze complex systems, work through ambiguity, and translate business requirements into scalable technical solutions.
Ability to solve complex technical problems and collaborate across engineering, architecture, product, and business teams.

Nice To Haves

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
Experience with C#/.NET.
Experience with Azure Data Factory, Azure SQL Managed Instance, or similar cloud-based data integration technologies.
Experience building or integrating solutions using Generative AI, LLMs, RAG, agentic AI, or other AI-powered technologies.
Experience evaluating emerging AI frameworks, tools, and engineering practices for practical enterprise use.
Experience applying AI to software development, technical analysis, testing, automation, or engineering productivity.
Experience mentoring engineers, sharing technical practices, and helping teams adopt new technologies.

Responsibilities

Design, develop, test, and deploy scalable enterprise software solutions focused on Generative AI and engineering productivity.
Build AI-powered applications, developer tools, and intelligent automation solutions that improve software delivery and operational efficiency.
Integrate AI capabilities into enterprise platforms, cloud services, APIs, and data pipelines.
Identify opportunities to use AI to improve software quality, automate manual processes, and accelerate engineering workflows.
Collaborate with architects, product owners, engineers, and business stakeholders to deliver technology solutions.
Evaluate emerging AI technologies, frameworks, and best practices and recommend practical organizational adoption.
Ensure applications meet enterprise standards for security, performance, reliability, maintainability, and scalability.
Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.
Serve as a technical resource for AI adoption.