Sr Software Engineer

UnitedHealth Group•Raleigh, NC
•$91,700 - $163,700•Remote

About The Position

Our Company 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

  • Bachelor’s degree in computer science, Software Engineering, Information Systems, or related field with 4+ years of software engineering experience
  • 5+ years of professional software development experience designing, developing, and supporting enterprise-grade applications
  • 3+ years of experience developing applications using Java and frameworks such as Spring Boot, Spring, or similar enterprise technologies
  • 2+ years of experience developing applications using Python and SQL, with demonstrated ability to write clean, maintainable, and production-quality code
  • 2+ years of experience designing and consuming REST APIs, microservices, and integration services
  • 1+ years of experience building, integrating, and deploying AI-powered features, automated workflows, or machine learning services/APIs
  • 1+ years of experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform

Nice To Haves

  • Experience with healthcare quality systems, population health platforms, claims data, clinical data, or healthcare analytics solutions
  • Knowledge of AI/ML concepts and experience integrating AI-powered features, automation capabilities, or machine learning services into enterprise applications
  • Experience developing cloud-native applications using containerization technologies such as Docker and Kubernetes
  • Familiarity with distributed systems, event-driven architectures, and scalable application design patterns
  • Strong understanding of software engineering best practices including code reviews, testing strategies, secure coding, and performance optimization
  • Experience with Azure services, data platforms, monitoring tools, and enterprise integration frameworks
  • Experience contributing to technical design discussions and implementing scalable solutions based on architectural guidance
  • Experience supporting production applications, troubleshooting issues, performing root cause analysis, and implementing corrective actions
  • Familiarity with Generative AI, LLM-powered solutions, or AI-assisted development tools
  • Experience with CI/CD pipelines, automated deployments, source control, and DevOps practices
  • Experience working within Agile/Scrum development environments
  • Strong analytical and problem-solving skills with the ability to troubleshoot complex production issues
  • Demonstrated ability to mentor team members and contribute to continuous improvement of engineering practices

Responsibilities

  • Design, develop, deploy, and maintain scalable software applications and platform services supporting the OQGA ecosystem, including batch processing, APIs, integrations, and healthcare quality solutions
  • Build and maintain reliable data pipelines and distributed application components that process large healthcare and quality datasets while ensuring performance, scalability, and data integrity
  • Develop high-quality software solutions using Java, Python, SQL, and modern engineering frameworks following enterprise coding standards and best practices
  • Collaborate with architects and senior engineers to implement scalable application designs, technical solutions, and cloud-based services aligned with business and technology objectives
  • Analyze business and technical requirements and translate them into efficient, maintainable, and secure software solutions
  • Participate in all phases of the software development lifecycle, including requirements refinement, design, development, testing, deployment, and production support
  • Partner with Product, QA, Operations, and cross-functional engineering teams to estimate work, resolve dependencies, and deliver features using Agile methodologies
  • Support deployment, monitoring, troubleshooting, and maintenance of OQGA applications across DEV, TEST, UAT, STAGE, and PROD environments. Participate in incident management, root cause analysis, and continuous improvement initiatives
  • Leverage enterprise-approved AI tools and modern engineering practices to improve productivity, automate repetitive tasks, and support innovation initiatives where appropriate
  • Participate in code reviews, design discussions, technical documentation, and knowledge-sharing activities to strengthen overall engineering quality
  • Mentor junior engineers and contribute to a culture of technical excellence, collaboration, and continuous learning
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Benefits

  • comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
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