Lead Software Engineer - Remote
About The Position
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. The Optum Insight Engineering AI team within Optum Insight Engineering is dedicated to transforming healthcare administrative, clinical, and financial processes through intelligent, scalable software solutions. In this role, you will lead software engineering initiatives across the application development lifecycle, driving the design and implementation of enterprise solutions. You will leverage cutting-edge tools and frameworks, evaluate technology trends, and deliver intelligent, high-impact platforms that simplify processes across the health system. If you are located in Canada, you will have the flexibility to work remotely as you take on some tough challenges.
Requirements
- 5+ years of experience in software engineering and enterprise application development using modern programming languages (e.g., Python, Java, or C#)
- 2+ years of experience serving in a technical leadership or lead engineer capacity guiding architecture and technical delivery
Nice To Haves
- Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent practical experience)
- Experience integrating generative AI capabilities, Large Language Models (LLMs), or intelligent automation into software products
- Experience building and supporting software solutions within healthcare clinical domain
- Experience with modern CI/CD pipelines, microservices architectures, and containerization technologies (e.g., Docker, Kubernetes)
- Experience designing, building, and deploying cloud-based application architectures (e.g., AWS, Azure, or GCP)
- Experience developing, integrating, or deploying enterprise AI/ML tools, modern AI frameworks, or automated solutions within production applications
Responsibilities
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
- Lead end-to-end software engineering initiatives, ensuring scalable, secure, and maintainable software architectures
- Evaluate emerging technology trends to inform solution design, architectural direction, and strategic innovation
- Leverage enterprise-approved AI tools to streamline engineering workflows, automate tasks, and drive continuous improvement
- Collaborate with cross-functional product, architecture, and data science teams to integrate intelligent capabilities into healthcare software products
- Provide technical leadership, conduct code reviews, and mentor software engineers to foster engineering excellence
Benefits
- comprehensive benefits
- career development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
