Lead Software Engineer - Java, Python, React, Azure

Optum

Pune District

On-site

INR 900,000 - 1,400,000

Full time

7 days ago
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Job summary

Optum in Pune, India, seeks a senior software engineer to design, build, test, and maintain enterprise applications across the AI SDLC. You will develop backend services in Java Spring Boot and Python, craft microservices-based, cloud-native solutions, and implement AI-powered and GenAI-driven capabilities.

You will collaborate with product, architecture, and DevOps to deliver scalable, secure systems. The role requires hands-on experience with CI/CD using GitHub Actions, Terraform, Azure cloud,

Qualifications

  • 6+ years designing APIs, service integration and backend systems.
  • 4+ years deploying CI/CD pipelines with GitHub Actions and Terraform.
  • 4+ years Azure Cloud experience building cloud-native apps.
  • Hands-on AI-enabled systems using Agentic AI architectures and RAG pipelines.
  • Experience in Agile/Scrum with delivery ownership.
  • LLM orchestration, prompts, and AI workflow automation.
  • Backend with Java (Spring Boot) and Python for production systems.
  • Frontend exposure with React/Angular/Next.js for end-to-end delivery.
  • Leadership, mentorship and cross-team collaboration.

Responsibilities

  • Design, develop, test, and maintain enterprise apps across AI-SDLC.
  • Build scalable, secure apps and APIs aligned to standards.
  • Design microservices-based cloud-native solutions.
  • Collaborate with product owners and architects to translate requirements.
  • Develop backend services using Java Spring Boot and Python.
  • Develop frontend using React/Angular/Next.js.
  • Design, develop and integrate RESTful APIs and integrations.
  • Implement AI-powered solutions using modern AI/GenAI tech.
  • Build and operationalize Agentic AI solutions with orchestration.
  • Develop and deploy RAG pipelines for knowledge-grounded apps.
  • Participate in AI PDLC including model dev, deploy, monitor.
  • Implement CI/CD pipelines with GitHub Actions.
  • Manage infrastructure with Terraform and cloud-native deployment.
  • Use Docker and Kubernetes (AKS) for deployment.
  • Manage artifact lifecycles with JFrog/Artifactory.
  • Ensure secure coding, vulnerability management and compliance.
  • Participate in Agile ceremonies and ensure timely delivery.
  • Ensure quality, performance, and security standards; code reviews, testing.
  • Troubleshoot production issues, root cause analysis.
  • Provide technical leadership and mentorship.
  • Contribute to architecture discussions and standards.
  • Collaborate across Product, Infra, DevOps, Architecture.
  • Identify automation opportunities and reduce technical debt.
  • Tackle less structured, complex issues; serve as a resource.
  • Comply with employment contracts and policies.

Skills

API design
CI/CD
Azure Cloud
Agentic AI
LLM orchestration
Microservices
Docker/Kubernetes
Java Spring Boot
Python
React/Angular/Next.js

Education

Bachelor's degree or equivalent

Tools

GitHub Actions
Terraform
Azure AKS
JFrog Artifactory

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
  • Works with less structured, more complex issues
  • Serves as a resource to others
  • 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:
  • Graduate degree or equivalent experience
  • 6+ years of experience over API design, service integration, and backend system engineering
  • 4+ years of hands-on experience implementing CI/CD pipelines using GitHub Actions, along with Terraform-based infrastructure provisioning
  • 4+ years of solid Azure Cloud experience, building and operating cloud-native applications
  • Hands-on experience building AI-enabled systems using Agentic AI architectures (multi-step orchestration, tool usage), RAG pipelines with vector search and knowledge grounding
  • Experience operating in Agile/Scrum teams with consistent delivery ownership
  • Working experience with LLM orchestration, prompt engineering, and AI workflow automation
  • Solid experience building API-driven platforms, reusable frameworks, and enterprise-grade integrations
  • Solid experience with Docker and Kubernetes (AKS) for containerized deployments, JFrog / Artifactory for artifact lifecycle management
  • Deep backend engineering experience with Java (Spring Boot) and Python, delivering production-grade systems
  • Working knowledge of the AI PDLC lifecycle (build, evaluate, deploy, monitor)
  • 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
  • Solid proficiency in Python for AI pipelines, automation, and agent workflows
  • Proven ability to Lead technical initiatives and influence architecture decisions, Mentor engineers and elevate team engineering standards
  • Proven ability to collaborate effectively across Product, Infra, DevOps, and Architecture
  • Demonstrated solid engineering discipline Clean, testable, maintainable code, Debugging, performance tuning, and system optimization
  • Demonstrated 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.

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