[Hiring] Sr Software Engineer @UnitedHealth Group

Role Description

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
• Salary range from $91,700 to $163,700 annually based on full-time employment.