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# Lead Software Engineer - Louisville, KY - 2374848

- **Company:** Unitedhealth Group Inc
- **Location:** Louisville, KY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $109,447.0 - $207,936.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Command-Line Interface, Continuous Integration, Data Systems, DevOps, Python (Programming Language), Regular Expressions, Software Engineering, SQL Databases, Data Processing, Google Cloud, Snowflake, Multi-Cloud, Containerization, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Data Pipelines, Docker, Databricks
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/EB90B6BBE82A45D2B1F80C6DC139A86D/job/

## About the Role

REQUIREMENTS: Employer will accept a Master's degree in Computer Science, Information Technology, Software Engineering, or related field and 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; and
 * AI/ML lifecycle and variations for different use-cases including non-generative and generative.

## Description

DUTIES: 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. May telecommute.


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