Senior Software Engineer - Remote

Requisition Number: 2400685

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

The Sr. Software Engineer is a senior technical contributor responsible for designing, developing, deploying, and maintaining scalable, secure, and high-performing enterprise software solutions. This role provides technical leadership across the software development lifecycle, helping teams translate complex business needs into modern cloud and AI-enabled technology solutions.

In this role, you will lead architecture and design decisions, champion modern engineering and DevOps best practices, mentor engineers, and drive continuous improvement across applications and platforms. You will bring deep hands-on full-stack or backend engineering skills and the ability to influence technical direction across cross-functional product and engineering teams.

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.

Primary

Responsibilities

• Lead the architecture, design, development, testing, deployment, and ongoing support of enterprise software solutions
• Design modular, scalable, secure, resilient, and maintainable applications and services
• Provide technical leadership through architecture decisions, design reviews, code reviews, engineering standards, and solution documentation
• Develop and maintain modern backend services and APIs using technologies such as Java, Spring Boot, Python, FastAPI, and REST APIs
• Develop modern user experiences using technologies such as React and other contemporary front-end frameworks
• Design and implement cloud-native solutions using Azure or GCP, including containers, Kubernetes, serverless technologies, and microservices
• Lead application modernization efforts, including migration from legacy applications toward modern cloud and service-based architectures
• Apply modern AI/ML and generative AI capabilities, where appropriate, including intelligent agents, copilots, LLM-enabled applications, and real-time inference.
• Implement and improve DevOps and CI/CD practices using technologies such as GitHub Actions, Terraform, Jenkins, Docker, and Kubernetes
• Build solutions with appropriate instrumentation, observability, monitoring, security, and operational support capabilities
• Diagnose complex production issues, conduct root cause analysis, and drive sustainable remediation
• Define and implement effective unit, integration, automated, performance, and other testing strategies
• Collaborate with product owners, architects, engineering teams, business stakeholders, and subject matter experts to translate business requirements into effective technical solutions.
• Mentor engineers and foster strong engineering practices, continuous learning, innovation, and technical excellence
• Identify opportunities to reduce technical debt, improve developer productivity, automate manual processes, and increase software quality
• Evaluate emerging technologies and recommend tools, frameworks, and architectural approaches that provide measurable business or engineering value

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required

Qualifications

• 4+ years of professional software development experience across the software development lifecycle
• Experience designing or developing AI/ML or generative AI solutions, including LLM applications, intelligent agents, copilots, NLP, or real-time inference
• Experience using GitHub Copilot or other AI-assisted software engineering tools to improve engineering productivity and quality
• Solid hands-on development experience with one or more modern programming languages, preferably Java and/or Python
• Experience developing APIs and distributed services using technologies such as Spring Boot, FastAPI, and REST
• Experience with modern front-end development, preferably React
• Experience designing and deploying solutions within Azure, GCP, or comparable public cloud environments
• Experience with modern DevOps, CI/CD, containerization, and infrastructure-as-code practices
• Experience with relational and/or NoSQL databases and modern data integration patterns
• Experience troubleshooting complex application and production issues across multiple components or technology layers
• Solid understanding of microservices, service-oriented architectures, API design, and modern application architecture patterns
• Demonstrated ability to design solutions for scalability, security, reliability, performance, and maintainability
• Demonstrated technical leadership, including mentoring engineers, conducting code/design reviews, and influencing engineering practices
• Solid analytical and problem-solving skills with the ability to work through complex and ambiguous technology challenges
• Solid written and verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences

Preferred

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
• Experience with generative AI frameworks and orchestration tools (e.g., LangChain, LlamaIndex, Open