Optum is a global leader in health optimization, leveraging advanced technology to empower millions toward healthier lives. Join a culture of inclusion and collaboration where your work directly impacts health outcomes. We offer comprehensive benefits and exciting career development opportunities.

Advance the future of health by connecting individuals with essential care, pharmacy benefits, data, and resources. Be part of a team dedicated to Caring, Connecting, and Growing together on a global scale.

Design, develop, and deploy secure, scalable cloud-based applications and services. Build and maintain both front-end (React, TypeScript) and back-end (Python, SQL) components of modern web applications. Develop APIs, integrations, and data-driven solutions using modern engineering practices.

Integrate AI capabilities, including LLMs and Generative AI, into applications. Contribute to AI-enabled solutions like RAG, intelligent search, and conversational experiences. Implement agentic AI solutions, including prompt engineering and orchestration frameworks.

Collaborate with product owners and stakeholders to deliver end-to-end solutions for reporting, analytics, and automation. Participate in all phases of the software development lifecycle, adhering to Agile and Lean principles. Support cloud-native solutions on Azure, including Azure OpenAI and Azure AI Search.

Apply DevOps practices using GitHub, Docker, and Kubernetes for CI/CD and IaC with Terraform. Troubleshoot and resolve application and performance issues. Monitor production applications to ensure reliability and meet service-level objectives. Continuously learn and apply emerging AI and cloud technologies.

A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience, is required. Candidates should possess at least 7 years of experience in Agile/Lean software development and 4+ years in cloud environments, preferably Azure.

Proficiency in JavaScript, TypeScript, React, SQL, and Python is essential. Experience with CI/CD automation, Git/GitHub, Docker, Kubernetes, and Infrastructure as Code (Terraform) is necessary. Hands-on experience developing applications integrating LLMs, Generative AI, AI agents, or intelligent automation is a key requirement.

Familiarity with AI application patterns such as RAG, prompt engineering, vector databases, and conversational AI is expected. Experience with agent orchestration frameworks like Semantic Kernel or LangChain is beneficial. Demonstrated use of AI-assisted development tools to enhance productivity and quality is also required.