Senior Software Engineering Lead - Java, python, React/Angular/Next.js

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, test, and maintain enterprise applications across all phases of the AI Software Development Life Cycle (AI-SDLC), including requirements analysis, technical design, implementation, deployment Build and deliver scalable, secure, and high-performing applications and APIs, ensuring alignment with enterprise architecture and engineering standards Design and implement microservices-based, cloud-native solutions with a focus on scalability, resiliency, and operational readiness Collaborate with product owners, architects, and cross-functional teams to translate business requirements into well-defined technical solutions and implementation plans Develop backend services using Java (Spring Boot), and/or Python, ensuring maintainable, testable, and high-quality code Develop front end applications using Reacts/Angular/Next.js Design, develop, and integrate RESTful APIs and enterprise system integrations to support end-to-end business workflows Design and implement AI-powered solutions to address complex business problems, leveraging modern AI/GenAI technologies Build and operationalize Agentic AI solutions, including multi-step orchestration, tool integration, and workflow automation Build and Integrate data warehousing solutions such as Snowflake and Databricks manage large-scale data pipelines Develop Backend Pipeline Frameworks: Leverage modern pipeline frameworks and tools to improve development productivity. For example, use Databricks Delta Live Tables or Lakehouse pipelines to declaratively define data flows where applicable. Explore the use of Spark Declarative Lake flow Pipelines or similar technologies to simplify the orchestration of complex data processes Participate in and contribute to the AI Product Development Lifecycle (AI PDLC), including model development, evaluation, deployment, and monitoring of AI solutions Implement and maintain CI/CD pipelines using GitHub Actions, enabling automated build, test, and deployment processes Manage infrastructure provisioning using Infrastructure as Code (Terraform) and support cloud-native deployment models Develop and deploy applications using Docker and Kubernetes (AKS), ensuring scalability and high availability Manage artifact lifecycle using JFrog / Artifactory and support efficient build and release processes Ensure adherence to Secure practices, including secure coding, vulnerability management, and compliance with enterprise standards Participate in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, ensuring timely and high-quality delivery Ensure solutions meet quality, performance, and security standards, including code reviews, testing, and monitoring Troubleshoot and resolve complex production issues, perform root cause analysis, and implement preventative fixes Provide technical leadership and mentorship through code reviews, design guidance, and knowledge sharing Contribute to architecture discussions, design decisions, and engineering standards across the team Collaborate with stakeholders to drive continuous improvement, innovation, and adoption of modern technologies Identify opportunities to automate processes, reduce technical debt, and improve system performance and efficiency Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as,