Software Engineering Lead - Azure, devops, AI

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.

Primary Responsibilities:

• Contribute to the migration of existing applications to Azure, assisting with modernization tasks, deployment steps, dependency mapping, and troubleshooting
• Support the design and implementation of secure Azure cloud services and infrastructure, including compute, storage, identity, networking, and monitoring
• Deploy AI agents into production web applications, including LLM powered or autonomous features that interact with users or support workflows
• Integrate AI agent workflows with backend systems, APIs, and cloud resources
• Assist with developing solution designs and architecture patterns under the guidance of senior engineers or architects
• Implement infrastructure as code using Terraform to build consistent, automated cloud environments
• Contribute to backend development using Python or JavaScript to support cloud and AI integrations
• Work closely with cross functional teams (architecture, engineering, product, security) to deliver scalable cloud and AI-driven solutions
• Use AI tools to automate development tasks, improve efficiency, and enhance operational workflows
• Diagnose and troubleshoot application, integration, and cloud environment issues
• Independently perform coding, unit testing, and peer collaboration within Agile teams
• Adhere to code quality standards, best practices, and organization-wide engineering processes
• Follow Agile methodologies and deliver features within expected timelines
• 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

• Bachelor's degree
• 3+ years of experience with Agile/lean development practices
• 1+ years of hands-on experience with Azure cloud services (e.g., Azure App Service, Azure Functions, Azure Storage, Azure SQL, Azure AD/Identity, or Azure Monitor)
• Experience with CI/CD pipelines and Git version control
• Experience contributing to the migration of an existing application to Azure, such as rehosting, re-platforming, or modernization activities
• Hands-on experience deploying at least one AI agent or LLM-powered feature into a website or web application
• Examples: interactive site agent, workflow assistant, customer support bot, AI-driven web feature
• Exposure to infrastructure as code concepts (Terraform preferred)
• Familiarity with backend development using Python or JavaScript
• Familiarity with Docker/Kubernetes fundamentals (AKS experience desirable but not required)
• Proven solid problem solving skills and the ability to collaborate with senior engineers and architecture teams
• Proven growth mindset and willingness to deepen expertise in cloud architecture and AI systems