Senior Manager Software Engineering

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

Job summary

Optum is seeking an accomplished Senior Architect to lead design and delivery of enterprise-scale platforms in Chennai. You will shape microservices with Java, Spring Boot, React, and modern AI integrations, driving scalability, security, and performance.

You will mentor teams, align with product and business needs, enforce best practices, and ensure Agile delivery. Deep expertise in system design, cloud-native solutions, CI/CD, and generative AI tools will be essential to guide thoughtful

Qualifications

• Graduate degree or equivalent experience.
• 10+ years of experience with enterprise Java/J2EE applications
• 5+ years of React.js experience
• Proven experience in AI or LLM application development, evaluation, or operationalization
• Demonstrated experience working with RAG pipelines, tool calling, prompt regression testing, or agent orchestration frameworks
• Proven experience with modern frontend development, including React 18, streaming UI patterns, Storybook, and component driven development
• Hands-on experience with event-driven architecture, asynchronous processing, and messaging systems such as Kafka, RabbitMQ, or similar
• Solid experience with cloud-native solutions
• Proven experience leading and mentoring engineering teams in an offshore or distributed model
• Solid understanding of full stack architectures including JavaScript, React, Redux, Node.js, and Python
• Proven solid grasp of system design, architectural decision-making, and software design patterns
• Proven exposure to Generative AI systems including GitHub Copilot, LangChain, LangGraph, and agent-based solutions
• Proven expertise in relational and NoSQL databases
• Proven solid command of CI/CD pipelines including Jenkins, Git, Maven/Gradle, and SonarQube
• Proven communication and stakeholder management skills, with the ability to balance technical depth and leadership accountability

Responsibilities

• Lead architecture and engineering of enterprise-scale platforms, focusing on scalability, resilience, performance, security.
• Design and evolve microservices with Java, Spring Boot, and Spring Cloud; frontend with React/Angular
• Own backend architecture and create blueprints guiding implementation
• Provide technical leadership across full-stack and Generative AI initiatives using React, Node.js, Python, LangChain, LangGraph
• Champion adoption of modern productivity tools (e.g., GitHub Copilot) to improve developer efficiency
• Lead, mentor, and grow the engineering organization
• Partner with product and business stakeholders to align priorities and deliver
• Establish engineering best practices, patterns, and standards
• Ensure Agile adherence through design reviews, code reviews, ceremonies
• Stay current on AI, ML and software engineering; guide value-driven adoption
• Provide strategic direction for ML solutions and data pipelines when applicable
• Ensure compliance with company policies and flexible work arrangements
• Comply with all applicable Company policies, procedures, and business directives

Skills

Java/J2EE

React.js

AI/LLM

RAG pipelines

React 18

Storybook

Component-driven dev

Kafka

RabbitMQ

Cloud-native

Team leadership

Full stack JS/Python

System architecture

GitHub Copilot

LangChain

LangGraph

Relational DBs

NoSQL

CI/CD

Stakeholder management

Education

Graduate degree

Job description

Primary Responsibilities

• Lead the architecture and engineering of enterprise-scale, mission-critical platforms supporting critical business operations. Architect distributed systems with strong emphasis on scalability, resilience, performance, security, and operational excellence
• Design and evolve microservices-based architectures using Java, Spring Boot, and Spring Cloud, alongside modern front-end frameworks such as React and Angular
• Own backend architecture and system design, producing high-level and detailed architectural blueprints that guide consistent implementation
• Provide technical and architectural leadership across full-stack and Generative AI initiatives, leveraging React, Node.js, Python, LangChain, and LangGraph
• Champion adoption of modern engineering productivity tools (e.g., GitHub Copilot) to improve developer efficiency, quality, and consistency
• Lead, mentor, and grow the engineering organization, fostering technical excellence, career development, and strong team engagement
• Partner closely with product, and business stakeholders to align priorities, translate business needs into technical outcomes, and ensure predictable delivery
• Establish and enforce engineering best practices, design patterns, and architectural standards across teams
• Own delivery commitments and quality, ensuring adherence to Agile practices through active participation in design reviews, code reviews, and ceremonies
• Stay current on advances in AI, ML, and software engineering, guiding thoughtful, value-driven adoption within the organization
• Provide strategic direction for machine learning solutions and data pipelines when applicable
• Ensure compliance with company policies, employment terms, and organizational directives, maintaining flexibility to adapt to evolving business needs and operating models
• 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

Required Qualifications

• Graduate degree or equivalent experience
• 10+ years of experience with enterprise Java/J2EE applications
• 5+ years of React.js experience
• Proven experience in AI or LLM application development, evaluation, or operationalization
• Demonstrated experience working with RAG pipelines, tool calling, prompt regression testing, or agent orchestration frameworks
• Proven experience with modern frontend development, including React 18, streaming UI patterns, Storybook, and component driven development
• Hands-on experience with event-driven architecture, asynchronous processing, and messaging systems such as Kafka, RabbitMQ, or similar
• Solid experience with cloud-native solutions
• Proven experience leading and mentoring engineering teams in an offshore or distributed model
• Solid understanding of full stack architectures including JavaScript, React, Redux, Node.js, and Python
• Proven solid grasp of system design, architectural decision-making, and software design patterns
• Proven exposure to Generative AI systems including GitHub Copilot, LangChain, LangGraph, and agent-based solutions
• Proven expertise in relational and NoSQL databases
• Proven solid command of CI/CD pipelines including Jenkins, Git, Maven/Gradle, and SonarQube
• Proven communication and stakeholder management skills, with the ability to balance technical depth and leadership accountability