Lead Software Engineer - Louisville, KY - 2374848

UnitedHealth Group is a healthcare organization focused on improving health care services. They are seeking a Lead Software Engineer to build scalable data systems and applications while mentoring junior engineers and ensuring high standards of quality and performance.

Responsibilities:

• Build high performing and scalable data systems, applications, and data pipelines to process very large amounts of data from multiple sources; develop services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud; build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases; utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform; develop robust, scalable, and maintainable code that meets high standards of quality and performance; utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scalable, robust process architecture for AI/ML use-cases; stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team; mentor and develop junior engineers on the team; participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations; automate infrastructure, application and services to enable an automated delivery through the CI/CD pipelines to the cloud; ensure proprietary applications satisfy rigorous internally defined technical requirements for performance, resiliency, availability and scalability; collaborate with solutions users to build, extend, and enhance applications that accelerate efficiency and innovation across the organization; provide post deployment support and to quickly respond to and resolve unexpected service problems

Requirements:

• Master's degree in Computer Science, Information Technology, Software Engineering, or related field
• 24 months of experience in the job offered or in a software engineering-related occupation
• Data pipelines
• Model inference
• MLOps for batch and real-time endpoints on cloud platforms
• Databricks, Azure, AWS, GCP, or Snowflake
• Python or Java
• Query and data processing tools including PySpark and SQL
• Command-line tools such as Shell, Regex, or cloud CLI
• DevOps practices, including CI/CD, containerization, Docker, Kubernetes, and infrastructure as code
• AI/ML development in healthcare, or insurance industries
• AI/ML lifecycle and variations for different use-cases including non-generative and generative