Lead Pega Developer
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 highly skilled and motivated Lead Software Engineer to lead and drive production support for critical Prior Authorization platforms including PAS & PANDA. This role is pivotal in ensuring the stability, performance, and modernization of our production systems. The ideal candidate will bring deep technical expertise in Pega, Azure, and AI/ML, and will lead efforts towards stability and availability of Priority 1 Critical Business Applications.
Location – US (Hybrid) (Minneapolis, New Jersey, Texas, Illinois, Connecticut and Massachusetts, Pennsylvania) – Central & Eastern Time zone is preferred.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
Requirements
Bachelor’s degree in computer science, Engineering, or related field
10+ years of experience in software engineering, with 4+ years in a production support lead or Service Level Owner role
4+ in Pega platform development/support and administration
2+ with Microsoft Azure (e.g., App Services, Functions, Monitor, DevOps)
Solid experience with observability tools like Splunk, App Insights, and Dynatrace
Proven excellent problem-solving, communication, and stakeholder management skills
Flexible to work off hours including weekends in case of critical business issues (e.g., Priority 1 or 2 incidents)
Preferred Qualifications:
Experience in healthcare or pharmacy benefit management domains
Familiarity with GenAI tools (e.g., CoPilot, Splunk MLTK) & understanding of AI/ML concepts and experience applying them to operational use cases (e.g., anomaly detection, predictive alerts)
The application process will continue on the employer's website.