Manager Software Engineering

Caring. Connecting. Growing Together

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

Primary Responsibilities:

• Delivery Leadership: Plan, prioritize, and deliver user stories in an agile framework. Mentor multiple geographically dispersed teams, ensuring alignment, accountability, and timely releases
• Technology Ownership and Innovation: Own the technology stack (Java or J2EE, Angular, React, Microservices, Kafka, Spring Or Python, Flask, Django and MySQL, Mongo, Snowflake), continuously improve cloud-based applications, and integrate AI or ML solutions to address complex business requirements
• Compliance and Policy Adherence: Uphold employment terms, company policies, and evolving business needs, including flexible work arrangements
• Software Development Lifecycle: Contribute to and oversee full SDLC activities - design, coding, testing, deployment, and automation - while enforcing best practices in code reviews and vulnerability assessments
• Quality and Troubleshooting: Lead quality engineering efforts, support test automation, and resolve complex technical issues in distributed and dynamic environments
• Continuous Growth and Collaboration: Foster learning, coach teams on new technologies, and partner effectively across time zones to deliver high-quality, innovative solutions

Required Qualifications:

• BS+ in CS or SE (or equivalent). 10+ years of full-stack (Java or J2EE, Spring Boot); 6+ years of engineering leadership
• 2+ years of production cloud and containerized infrastructure; hands-on cloud solution delivery
• Experience in AI: led AI copilot adoption; embedded generative AI into CI/CD; 1+ years integrating GenAI in enterprise apps
• Experience in DevOps: build tools (Maven or Gradle); CI/CD (GitHub Actions, Jenkins), continuous testing; code quality or security (SonarQube, Twistlock or Prisma)
• Experience in Monitoring or observability: Grafana, Datadog, Splunk
• Experience in Datastores: SQL (PL/SQL, MySQL, MSSQL); NoSQL or analytics (MongoDB, Snowflake)
• Experience in Messaging or streaming: Kafka, RabbitMQ
• Experience in Testing: JUnit or equivalent; TDD and automated testing
• Agile or Scrum; experience in healthcare or other regulated environments
• Solid engineering fundamentals: algorithms, data structures, schemas or queries, design patterns, system design; code reviews
• Proven excellent communication with technical and non-technical audiences
• Proven hands-on, architecture-minded leader: analytical, problem-solving, research-oriented, adaptable, strategic; designs robust databases; mentors teams and reports effectively to senior management; thought leader and innovation driver