Senior Software Engineering Lead

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

Job summary

Optum India is seeking a senior software and AI engineer to design, build, and operate scalable cloud-native applications. You will collaborate across AI PDLC, implement microservices, and work with cross-functional teams to translate business needs into robust technical solutions.

The role emphasizes Azure, GitHub Actions, Terraform, Docker and Kubernetes (AKS), and AI workflows, with a strong focus on reliability, security, and performance.

Qualifications

• 6+ years of API design, service integration, and backend engineering.
• 4+ years Azure cloud experience building cloud-native apps.
• 4+ years CI/CD with GitHub Actions and Terraform-based infra.
• Deep backend experience with Java (Spring Boot) and Python.
• Solid Docker and Kubernetes (AKS) experience; Artifactory/JFrog for artifacts.
• Hands-on AI-enabled systems building Agentic AI, RAG pipelines, vector search.
• Experience with LLM orchestration and AI workflow automation.
• Frontend exposure with React/Angular/Next.js to support end-to-end delivery.

Responsibilities

• Design, develop, test, and maintain enterprise apps across the AI SDLC, including requirements analysis, design, implementation, and deployment.
• Build scalable, secure, high-performing apps and APIs aligned with enterprise standards.
• Design and implement microservices-based, cloud-native solutions focusing on scalability and resilience.
• Collaborate with product owners, architects, and cross-functional teams to translate requirements into technical plans.
• Develop backend services using Java (Spring Boot) and/or Python with maintainable code.
• Develop front end apps using React/Angular/Next.js for end-to-end delivery.
• Implement RESTful APIs and enterprise integrations to support workflows.
• Develop AI-powered solutions using modern AI/GenAI technologies and AI PDLC lifecycle.
• Build and operationalize Agentic AI solutions with multi-step orchestration and tool integration.
• Develop and deploy RAG pipelines enabling knowledge-grounded AI apps.
• Participate in CI/CD pipelines with GitHub Actions and IaC with Terraform.
• Manage infrastructure using Terraform and cloud-native deployment models.
• Deploy apps with Docker and Kubernetes (AKS), ensuring scalability and high availability.
• Ensure secure coding, vulnerability management, and compliance with standards.
• Participate in Agile/Scrum ceremonies and drive timely delivery.
• Provide technical leadership, mentoring, and architectural collaboration.

Skills

API design

Service integration

Backend engineering

Java (Spring Boot)

Python

Azure cloud

CI/CD

GitHub Actions

Terraform

Docker

Kubernetes (AKS)

AI/GenAI

LLM orchestration

Frontend exposure React/Angular/Next

Agile/Scrum

Microservices

Performance tuning

Security best practices

Tools

Azure

GitHub Actions

Terraform

Docker

Kubernetes AKS

Artifactory/JFrog

Spring Boot

Python

React/Angular/Next.js

AI tooling / GenAI

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

• 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
• Develop and implement RAG (Retrieval Augmented Generation) pipelines, enabling knowledge-driven and context-aware AI applications
• 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, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard 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

• 6+ years of experience over API design, service integration, and backend system engineering
• 4+ years of Solid Azure cloud experience, building and operating cloud-native applications
• 4+ Hands-on experience implementing CI/CD pipelines using GitHub Actions, along with Terraform-based infrastructure provisioning
• Deep backend engineering experience with Java (Spring Boot) and Python, delivering production-grade systems
• Solid experience with Docker and Kubernetes (AKS) for containerized deployments, JFrog / Artifactory for artifact lifecycle management
• Hands-on experience building AI-enabled systems using Agentic AI architectures (multi-step orchestration, tool usage), RAG pipelines with vector search and knowledge grounding
• Working experience with LLM orchestration, prompt engineering, and AI workflow automation
• Solid experience building API-driven platforms, reusable frameworks, and enterprise-grade integrations
• Experience operating in Agile/Scrum teams with consistent delivery ownership
• Proven expertise in designing and scaling microservices-based and distributed architectures with Solid focus on resilience, latency, and throughput
• Proven exposure to frontend frameworks (React/Angular/Next.js) to support end-to-end solution delivery
• Working knowledge of the AI PDLC lifecycle (build, evaluate, deploy, monitor)
• Solid proficiency in Python for AI pipelines, automation, and agent workflows
• Solid engineering discipline Clean, testable, maintainable code, Debugging, performance tuning, and system optimization
• Proven ability to Lead technical initiatives and influence architecture decisions, Mentor engineers and elevate team engineering standards
• Ability to collaborate effectively across Product, Infra, DevOps, and Architecture
• Solid communication, ownership mindset, and problem-solving skills

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.