Join Optum, a global leader in healthcare technology, and contribute to improving health outcomes worldwide. This role is pivotal in advancing health optimization by connecting individuals with essential care, pharmacy benefits, data, and resources. You'll be part of an inclusive culture alongside talented colleagues, offering comprehensive benefits and robust career development opportunities. Embrace our mission to "Caring. Connecting. Growing together."

Software engineering at Optum involves the systematic design, development, implementation, and maintenance of high-quality software. Our technology teams are dedicated to understanding customer needs and building innovative product roadmaps. This includes analysis, coding, testing, research, development, and operations, with a strong emphasis on building quality into every output.

Provide leading technical and architectural guidance for Care Extension capabilities within the Value Connect Platform. Define and execute the application strategy and roadmap, ensuring scalable, resilient solutions aligned with long-term platform evolution. Spearhead the design and implementation of Care Management and Medication Management solutions, encompassing workflows across core platform services and client-facing modules.

Manage the end-to-end development lifecycle, from design and deployment to optimization, monitoring, and operational readiness. Translate complex business challenges into enterprise-grade architectures that yield measurable outcomes like faster time-to-value and enhanced decision intelligence. Collaborate with product, engineering, and architecture leaders to ensure alignment between platform capabilities, release timelines, and customer commitments.

Establish and enforce standards for Responsible AI, model governance, and platform consistency across teams. Serve as a technical mentor and multiplier, enhancing team engineering maturity through design reviews, best practices, and hands-on guidance. Review the work of peers, develop innovative approaches, and act as an expert resource. Comply with all company policies, including those related to work location, team assignments, schedules, and flexible work arrangements.

An undergraduate degree or equivalent practical experience is required. Demonstrated success in leading enterprise solution architecture for large-scale, multi-product applications and platforms is essential.

A strong hands-on background with Java, Spark, Azure, React, and PostgreSQL within complex, distributed systems is necessary. Experience building platforms that reliably support multiple use cases, teams, and release trains without compromising velocity is key.

Deep expertise in technical design and architecture, with a proven track record of operationalizing these capabilities in production environments, is expected. A solid understanding of Responsible AI principles, enterprise governance, and risk management within regulated environments is crucial.

Proven ability to design and operate high-performance data pipelines, including large-scale deployment, optimization, and lifecycle management, is required. Candidates must demonstrate a strong ability to influence across teams and levels, balancing technical depth, strategic thinking, and delivery accountability.