Senior Software Engineering Lead

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.

Design, develop, and maintain scalable, resilient, and high-performance software solutions using Go, Python, Databricks, and cloud-native technologies Build and support critical engineering solutions that power the organization's contact center operations, ensuring exceptional performance, reliability, and customer experience Lead the design and implementation of real-time event-driven architectures leveraging Apache Kafka and distributed systems patterns Develop and maintain secure, scalable, and reusable RESTful APIs and microservices that integrate with enterprise platforms and customer-facing applications Leverage Databricks and enterprise data platforms to build robust data pipelines, analytics solutions, and operational insights Utilize Generative AI (GenAI), AI/ML capabilities, and intelligent automation to improve business processes, engineer productivity, customer experiences, and operational efficiency Identify opportunities to embed AI-driven solutions into daily engineering workflows, operational support processes, and contact center capabilities Develop and support solutions within the Google ecosystem, including Dialogflow (DF), CES, GECX, and related enterprise platforms Ensure systems, applications, and integrations are peak-season ready by proactively driving scalability, performance testing, capacity planning, resiliency improvements, and disaster recovery preparedness Monitor system health, troubleshoot production issues, and continuously improve platform reliability, observability, and operational excellence Establish and maintain CI/CD pipelines, source control standards, and development best practices using GitHub Partner closely with Product, Operations, Contact Center, Data Engineering, and Architecture teams to deliver innovative technology solutions Lead technical design discussions, conduct code reviews, and mentor engineers on modern engineering practices and emerging technologies Champion software quality, security, automation, performance optimization, and engineering excellence across the organization Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Fulltime graduation degree Solid experience designing and developing RESTful APIs, microservices, and scalable application architectures Hands-on experience with Apache Kafka and event-driven systems Proven experience developing and supporting solutions on Databricks and large-scale data platforms Experience with Google technologies including Dialogflow (DF), CES, GECX, and related cloud services Experience supporting highly available, customer-facing platforms with strict performance and reliability requirements Solid understanding of Generative AI, AI/ML technologies, and practical experience incorporating AI-powered capabilities into software products or engineering processes