Senior Software Engineer II

Job Title: Senior Software Engineer II Company: Optum Job Category: Machine Learning Roles & Responsibilities: Primary Responsibilities: * Provide technical leadership for the engineering team responsible for delivering high\-impact and business\-critical features for the high visibility products, ensuring solution quality, scalability, reliability, and maintainability * Architect, design, and implement cloud\-native enterprise solutions using Microsoft Azure, .NET, and Angular, leveraging Azure services to build secure, scalable, and resilient applications * Lead the design and implementation of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI initiatives that improve business processes, automate workflows, and enhance customer experiences across the product portfolio * Drive the adoption and implementation of Retrieval\-Augmented Generation (RAG) architectures, Prompt Engineering best practices, and AI orchestration frameworks such as LangChain and LangGraph to develop intelligent enterprise applications * Collaborate closely with Product Managers, Business Stakeholders, Data Scientists, Architects, and cross\-functional engineering teams to translate business requirements into robust technical solutions * Provide technical guidance, mentoring, and coaching to software engineers through architecture reviews, code reviews, design discussions, and technical knowledge sharing to foster engineering excellence * Establish and enforce software engineering best practices, including secure coding standards, design patterns, performance optimization, testing strategies, and architectural governance * Lead technical design discussions and contribute to strategic technology decisions, ensuring alignment with enterprise architecture, cloud strategy, and long\-term business objectives * Drive DevOps maturity by implementing CI/CD pipelines, infrastructure automation, monitoring, observability, and release management practices to improve deployment efficiency and operational stability * Champion the adoption of AI\-powered Software Development Lifecycle (SDLC) tools to enhance developer productivity, automate repetitive engineering tasks, improve code quality, accelerate testing, and optimize software delivery * Ensure applications meet enterprise standards for security, compliance, performance, scalability, and operational excellence while proactively identifying and mitigating technical risks * Stay current with emerging technologies, industry trends, and advancements in cloud computing, AI/ML, and Generative AI, recommending innovative solutions that deliver measurable business value * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Karnataka, India Availability: Full time

Required Qualifications: * Graduate degree in Computer Science, Information Technology, Engineering, or equivalent practical experience * Extensive experience in software engineering with demonstrated expertise in Microsoft Azure, .NET, Angular, and AI/ML technologies * Proven experience leading engineering teams and delivering enterprise\-scale cloud applications and AI\-driven solutions * Experience working in Agile/Scrum environments with a strong focus on continuous improvement and engineering best practices At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone\-of every race, gender, sexuality, age, location and income\-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes \- an enterprise priority reflected in our mission. Key Skills: Machine Learning Salary: Not disclosed