Senior Software and DevOps Engineer - Remote

UnitedHealth Group•Minnetonka, MN

13d•$91,700 - $163,700•Remote

About The Position

This role is responsible for designing, developing, testing, and supporting critical rules application in production. The role requires solid engineering expertise, understanding of US Healthcare Insurance (nice to have), and hands on experience operating modern, cloud enabled systems at scale. The engineer will partner with architects, business operations, and interfacing application teams to deliver high quality, resilient, and secure software while ensuring the availability of systems in production. 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

Bachelor’s degree or higher in Computer Science, Engineering, or related field
10+ years of experience in IT, with solid focus on application engineering and production operations
Hands on experience designing, developing, deploying, monitoring, and supporting applications in production environments
Solid experience with cloud platforms, APIs, event driven automation, and integration patterns
Solid experience with Java, Maven, XML, REST APIs, microservices, and web services
Solid SQL skills and experience with relational and NoSQL databases
Experience in scripting and automation using Python, Power Automate, Microsoft Graph API, and shell scripting
Working knowledge of AI tools and their application in engineering workflows
Knowledge of US Healthcare insurance with focus on payer side claims processing.
Exposure to Kafka or other streaming platforms
Proficiency with CI/CD platforms such as GitHub Actions
Proven excellent communication skills with ability to explain complex concepts clearly
Comfortable working with global, distributed teams in a fast paced environment
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Nice To Haves

Understanding of US Healthcare Insurance

Responsibilities

Developing and managing business rules in IBM ODM, including rule authoring, decision tables, and ruleflow maintenance
Design and build REST and GraphQL APIs in Java
Design and implement Kafka producers and consumers including schema design, partitioning strategy, and reliable message processing
Setup and manage deployment pipelines using GitHub Actions, including reusable workflows, environment secrets, and automated deployment rules
Experience integrating JFrog Artifactory with CI/CD pipelines for storing, publishing, versioning, and promoting build artifacts
Writing JUnit tests with high code coverage, ability to identify and remediate issues from static and dynamic code analysis tools (e.g., CodeQL, SonarQube, security scanners)
Work with MySQL, including designing high performance database schemas optimized for high volume transactional workloads
Perform system testing and end to end testing to ensure the delivery of high quality, resilient, and secure code to production, and provide support for production systems as needed
Deploying services on Kubernetes based platforms (e.g., HCC K8s), including configuration, scaling, and troubleshooting
Use observability and monitoring tools such as Splunk, Dynatrace, Zabbix, and Grafana to monitor logs, track application performance, analyze trends, and proactively identify issues
Collaborate with cross-functional teams including architects, Business users and operations
Participate in code reviews, architecture discussion, and agile ceremonies
Support the application in production, ensuring availability, stability, and timely issue resolution
Participate in PLM activities, ensuring compliance with organizational release governance and alignment with CI/CD and deployment lifecycle requirements
Maintain detailed and up to date documentation for application features, system behavior, and associated security controls to support engineering and operational excellence
Utilize AI-powered development tools (e.g., GitHub Copilot etc.) for code generation, refactoring, debugging, and documentation
Apply AI tools to improve test coverage, code quality, and productivity
Stay updated with emerging AI technologies relevant to software development