Senior Principal Software Engineer

Optum India; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Optum India is seeking a senior software engineering leader with 15+ years of experience to architect and deliver cloud-native enterprise solutions using Microsoft Azure, .NET, and Angular. You will guide AI/ML initiatives, implement RAG architectures with LangChain and LangGraph, and drive secure coding and DevOps practices across large-scale systems.

You will collaborate with product managers, data scientists, and cross-functional teams to translate business requirements into robust technical

Qualifications

• Undergraduate degree in Computer Science, IT, Engineering, or equivalent practical experience.
• 15+ years of software engineering experience with Azure, .NET, Angular, and AI/ML technologies.
• Experience leading engineering teams and delivering enterprise-scale cloud applications and AI-driven solutions.
• Experience working in Agile/Scrum environments with a focus on continuous improvement and engineering best practices.

Responsibilities

• Provide technical leadership for the engineering team delivering high-impact features for critical products.
• Architect and implement cloud-native enterprise solutions using Azure, .NET, and Angular.
• Lead AI/ML and Generative AI initiatives to automate workflows and improve customer experiences.
• Drive RAG architectures and AI orchestration using LangChain and LangGraph.
• Collaborate with Product Managers, Data Scientists, and cross-functional teams to translate requirements into robust solutions.
• Provide mentoring and code/design reviews to foster engineering excellence.
• Enforce secure coding, performance, testing, and architectural governance.

Skills

Azure cloud

.NET & C#

Angular

AI/ML

Leadership

DevOps

Education

Bachelor’s degree in CS/IT or equivalent

Tools

Azure DevOps

Git

Jenkins

Docker

Kubernetes

LangChain

LangGraph

Job description

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

• 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 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

Required Qualifications

• Undergraduate degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
• 15+ years of software engineering experience, with solid expertise in Microsoft Azure, .NET, Angular, and AI/ML technologies
• Experience leading engineering teams and delivering enterprise-scale cloud applications and AI-driven solutions
• Experience working in Agile/Scrum environments with a solid focus on continuous improvement and engineering best practices

Technical Skills

• Cloud & Platform Technologies
  • Solid expertise in Microsoft Azure Cloud, including designing, deploying, and managing cloud-native enterprise applications.
  • Experience with Azure services such as App Services, Azure Functions, Azure Storage, Azure SQL, Azure Kubernetes Service (AKS), Azure Key Vault, Azure Monitor, Application Insights, and Azure API Management
  • Solid understanding of cloud architecture principles, microservices, distributed systems, scalability, security, and high availability
• AI/ML & Generative AI
  • Hands-on experience developing AI/ML-enabled enterprise solutions
  • Solid understanding of Generative AI, Large Language Models (LLMs), and enterprise AI solution design
  • Expertise in Prompt Engineering techniques to optimize LLM performance for business use cases
  • Experience implementing Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, document retrieval, and semantic search
  • Practical experience with LangChain and LangGraph for building AI agents, conversational applications, workflow orchestration, and intelligent automation
  • Familiarity with Azure AI services such as Azure OpenAI Service, Azure AI Foundry, Azure AI Search, and Azure Machine Learning is highly desirable
• Application Development
  • Solid experience in .NET, ASP.NET Core, C#, RESTful APIs, Web APIs, Entity Framework Core, and modern software design principles
  • Proficiency in Angular for building responsive, scalable, and maintainable front-end applications
  • Experience developing enterprise-grade applications using modern architectural patterns such as Clean Architecture, Domain-Driven Design (DDD), and microservices
• DevOps & Engineering Practices
  • Experience with DevOps tools including Azure DevOps, Git, GitHub, Jenkins, YAML pipelines, Docker, Kubernetes, and Infrastructure as Code (IaC)
  • Solid knowledge of Continuous Integration (CI), Continuous Deployment (CD), automated testing, release management, and monitoring practices
  • Experience integrating AI-assisted engineering tools into the Software Development Lifecycle (SDLC), including AI-powered code generation, automated code reviews, test generation, documentation assistance, and developer productivity solutions
• Leadership & Collaboration
  • Proven ability to lead technical teams, mentor engineers, and drive engineering excellence across multiple initiatives
  • Solid analytical, problem-solving, and decision-making skills with the ability to balance technical innovation and business priorities
  • Excellent communication and stakeholder management skills with experience collaborating across engineering, product, architecture, and business teams

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.