Lead Software Engineer
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. Join us to start Caring. Connecting. Growing together.
We are seeking a Lead Software Engineer to join our OptumRx Infusion team. In this role, you will lead the development and support of multiple enterprise applications, with an initial focus on the 340B program. You’ll collaborate with cross-functional teams to deliver scalable, cloud-hosted solutions that drive operational excellence and improve patient care.
Requirements
10+ years of software engineering experience
5+ years of experience with MySQL and Mongo DB Database knowledge
Team Lead / Solution Architect experience is essential
Experience in Java or other technologies such as Python or Go
Experience in Kafka & managing data pipelines
Proven building and integrating with internal and external RESTful services
Preferred Qualifications:
AI experience
Agile experience specifically with Scrum and Kanban
Experience with DevOps tools
Experience with Cloud Azure
Responsibilities
Collaborate closely with business stakeholders and Technical Product Owners (TPOs) to drive successful project delivery
Provide leadership in software development, ensuring high-quality solutions that meet business needs
Take ownership of operational support, troubleshooting, and resolving production issues efficiently
Actively participate in all deployment activities, ensuring smooth releases and minimizing downtime
Lead and mentor development teams, fostering best practices in software engineering and agile delivery
Drive end-to-end delivery, ensuring projects are completed on time and align with organizational goals
Develop novel AI approaches for healthcare using both structured and unstructured data
Build and test deep learning and traditional ML models in distributed computing environments
Design and plan experiments, conduct statistical analysis and create data visualizations
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
Develop code and model documentation, patents and publications in scientific conferences and journals
Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions
Uses GitHub Copilot to speed up the creation of boilerplate code
Uses M365 Copilot to recap meetings and draft emails
Uses a chat-based AI tool to debug code
Uses GenAI to create sample test data or test cases
Uses AI tools to streamline the creation of user stories
The application process will continue on the employer's website.
Similar Jobs
Infrastructure Engineer
ValidMind
United States
Engineering Specialist
Capita
Gosport (HMS Sultan, Portsmouth, UK)
IT Endpoint Engineer
Guidehouse
Multiple U.S. locations (Texas — San Antonio, Lewisville, Austin; New York, Remote)
CE Application Service Engineer
Microsoft
Atlanta, GA, United States (with additional locations: Washington, D.C., Redmond, WA, San Antonio, TX, Phoenix, AZ)