Director, Software Engineering - OptumRx Technology - Remote

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Modernization Strategy & Migration Roadmap Own and execute the engineering strategy for modernizing applications, translating business outcomes (cost reduction, resilience, scalability, time-to-market) into a prioritized migration roadmap and quarterly delivery plan Define the target-state architecture on Azure cloud, including landing zones, networking, identity, data platform (Databricks, MongoDB), and application runtime patterns (containers, serverless, managed services) Lead portfolio-level assessment of legacy applications: rationalization, disposition decisions (retire, retain, rehost, replatform, refactor, rebuild, replace), migration waves, and dependency sequencing Technical Leadership & Architecture (Migration + Engineering Excellence) Provide hands-on technical leadership across solution design, architecture, and implementation for migration and modernization efforts; ensure solutions are reliable, secure, performant, and maintainable Establish reference architectures and engineering standards for cloud-native applications on Azure, including microservices patterns, event-driven designs, API gateways, data flows, service boundaries, observability, and performance engineering Drive technology decisions across the core stack: Azure (AKS, App Service, Functions, Event Hubs, API Management), Databricks (lakehouse, Delta Lake, Unity Catalog, pipelines), MongoDB (schema design, sharding, Atlas), Python (services, data engineering), and Java (Spring Boot, enterprise services) Lead build/buy/partner evaluations for migration tooling, schema conversion, data replication (e.g., Azure Database Migration Service, Qlik, Fivetran), and refactoring accelerators Drive reusable components and accelerators (migration factory patterns, shared libraries, common services, IaC modules) to improve delivery efficiency and consistency across waves Delivery Ownership (End-to-End Modernization Lifecycle) Accountable for the end-to-end engineering lifecycle, discovery, assessment, architecture and design, build, data migration, testing (including parallel run and reconciliation), cutover, hypercare, and decommissioning of legacy systems Own delivery commitments: scope, schedule, budget, quality, and risk; proactively surface and resolve blockers, manage dependencies across teams, and drive on-time wave completion Institutionalize engineering rigor: code quality, testing strategy (unit, integration, contract, performance, data parity), CI/CD discipline, IaC (Terraform/Bicep), reliability targets, and incident response readiness Establish migration playbooks covering data migration patterns, dual-write and backfill strategies, cutover runbooks, rollback plans, and production validation Data Platform Modernization Lead data modernization initiatives: migrating from legacy databases (SQL Server, Oracle, DB2, mainframe) to Databricks lakehouse and MongoDB operational stores, with clear separation of analytical and transactional workloads Define data architecture standards: ingestion patterns, medallion architecture (bronze/silver/gold) on Databricks, governance via Unity Catalog, data quality, lineage, and access control Ensure data integrity through migration: reconciliation frameworks,