Lead Full Stack Engineer (UI)

Optum

Bengaluru, India

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:

Lead end-to-end architecture, design, and development of AI-powered full stack applications with a strong focus on user experience, scalability, and performance
Architect and build modern web applications using React, Next.js, Angular, and reusable UI component libraries
Develop responsive, accessible, and high-performance user interfaces by leveraging SSR, ISR, optimized rendering, and modern frontend engineering practices
Design and build AI-powered user experiences including:
Conversational AI applications
Enterprise AI copilots
Intelligent dashboards
Real-time streaming applications
Workflow automation solutions
Integrate AI/ML and Generative AI capabilities into enterprise applications, including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI workflows
Semantic search and recommendation systems
Design and implement Backend-for-Frontend (BFF) architectures and scalable RESTful and GraphQL APIs using Node.js and Python frameworks
Build real-time communication capabilities using Web Sockets and Server-Sent Events (SSE)
Develop distributed, stateless, and horizontally scalable application architectures that support high throughput and low latency workloads
Implement application resiliency and scalability patterns including:
Caching strategies
Rate limiting
Backpressure management
Fault tolerance and graceful degradation
Build event-driven architectures and streaming data pipelines to support real-time AI and analytics workloads
Deploy and manage cloud-native applications using containerization, orchestration platforms, and CI/CD pipelines
Establish engineering best practices for observability, monitoring, logging, tracing, production support, and incident management
Ensure secure application design and implementation through:
OAuth and OpenID Connect
Single Sign-On (SSO)
Role-Based Access Control (RBAC)
Encryption and data protection
Regulatory and enterprise compliance requirements
Collaborate with product, design, AI/ML, platform, and business teams to define technical roadmaps and deliver business outcomes
Drive architecture reviews, engineering standards, code quality, and technical governance across projects
Mentor engineers and provide technical leadership to development teams throughout the software development lifecycle
Lead successful delivery of enterprise-scale AI applications from concept through production deployment and operational support
Accelerate engineering adoption through reusable frameworks, design patterns, shared services, and reference architectures
Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
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:
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
12+ years of experience in full stack application development with strong expertise in modern frontend engineering
Proven experience building and delivering scalable enterprise applications using React, Next.js, Angular, or similar frontend technologies
Experience designing and developing Backend-for-Frontend (BFF) layers, REST APIs, GraphQL services, and microservices-based systems.
Hands-on experience with Node.js frameworks such as Express.js or NestJS and Python frameworks such as FastAPI, Flask, or Django.
Experience building high-volume, real-time applications and streaming data solutions
Cloud-native development experience using AWS, Azure, and/or Google Cloud Platform
Experience with containerization, orchestration platforms, CI/CD pipelines, and DevOps practices
Proven experience leading engineering teams, mentoring developers, driving architectural decisions, and delivering large-scale technology solutions
Experience implementing AI-powered applications utilizing:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Vector Embeddings
Semantic Search
Agentic AI Workflows
Deep understanding of AI/ML concepts including Natural Language Processing, Generative AI, and enterprise AI integrations
Solid understanding of distributed systems, scalability patterns, performance optimization, and fault-tolerant architectures
Solid understanding of application security, authentication, authorization, and enterprise compliance standards
Proven excellent communication, stakeholder management, and cross-functional collaboration skills
Proven solid expertise in JavaScript, TypeScript, HTML5, CSS3, and modern frontend architectures
Preferred Qualifications:
Master's degree
Experience architecting and delivering large-scale enterprise web applications with modern frontend frameworks such as React, Next.js, Angular, and micro-frontend architectures
Experience building reusable design systems, component libraries, and enterprise UI platforms that enable consistency and scalability across products
Experience designing Backend-for-Frontend (BFF) architectures, API gateways, GraphQL services, and distributed microservices ecosystems
Experience developing and operating high-scale distributed systems with strong understanding of scalability, reliability, fault tolerance, resilience engineering, caching strategies, and performance optimization
Experience with cloud-native application development using AWS, Azure, or GCP, including containerization, Kubernetes orchestration, infrastructure automation, and CI/CD practices
Experience implementing enterprise security architectures including OAuth, OpenID Connect, SSO, RBAC, encryption, secrets management, and regulatory compliance requirements
Hands-on experience integrating AI/ML and Generative AI capabilities into user-facing applications, including LLMs, RAG architectures, semantic search, AI copilots, conversational interfaces, and agentic workflows
Experience with AI application frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex, or similar orchestration platforms
Experience with vector databases, semantic retrieval systems, and knowledge platforms including Pinecone, ChromaDB, Weaviate, pgvector, Azure AI Search, and Neo4j
Experience with modern data platforms and streaming ecosystems including Apache Kafka, Spark, Databricks, Snowflake, BigQuery, and large-scale ETL/ELT architectures
Proven solid expertise in frontend performance optimization, accessibility (WCAG), responsive design, SSR/ISR strategies, rendering optimization, and modern UI engineering best practices
Proven expertise in building real-time applications using WebSockets, Server-Sent Events (SSE), event-driven architectures, and streaming technologies
Proven solid DevOps, observability, and production operations experience, including logging, monitoring, distributed tracing, performance profiling, and production incident management
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.
#NJP#NIC

Lead Full Stack Engineer (UI)

Optum

Bengaluru, India

Lead end-to-end architecture, design, and development of AI-powered full stack applications with a strong focus on user experience, scalability, and performance
Architect and build modern web applications using React, Next.js, Angular, and reusable UI component libraries
Develop responsive, accessible, and high-performance user interfaces by leveraging SSR, ISR, optimized rendering, and modern frontend engineering practices
Design and build AI-powered user experiences including:
Conversational AI applications
Enterprise AI copilots
Intelligent dashboards
Real-time streaming applications
Workflow automation solutions
Integrate AI/ML and Generative AI capabilities into enterprise applications, including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI workflows
Semantic search and recommendation systems
Design and implement Backend-for-Frontend (BFF) architectures and scalable RESTful and GraphQL APIs using Node.js and Python frameworks
Build real-time communication capabilities using Web Sockets and Server-Sent Events (SSE)
Develop distributed, stateless, and horizontally scalable application architectures that support high throughput and low latency workloads
Implement application resiliency and scalability patterns including:
Caching strategies
Rate limiting
Backpressure management
Fault tolerance and graceful degradation
Build event-driven architectures and streaming data pipelines to support real-time AI and analytics workloads
Deploy and manage cloud-native applications using containerization, orchestration platforms, and CI/CD pipelines
Establish engineering best practices for observability, monitoring, logging, tracing, production support, and incident management
Ensure secure application design and implementation through:
OAuth and OpenID Connect
Single Sign-On (SSO)
Role-Based Access Control (RBAC)
Encryption and data protection
Regulatory and enterprise compliance requirements
Collaborate with product, design, AI/ML, platform, and business teams to define technical roadmaps and deliver business outcomes
Drive architecture reviews, engineering standards, code quality, and technical governance across projects
Mentor engineers and provide technical leadership to development teams throughout the software development lifecycle
Lead successful delivery of enterprise-scale AI applications from concept through production deployment and operational support
Accelerate engineering adoption through reusable frameworks, design patterns, shared services, and reference architectures
Builder Responsibilities:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
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:
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
12+ years of experience in full stack application development with strong expertise in modern frontend engineering
Proven experience building and delivering scalable enterprise applications using React, Next.js, Angular, or similar frontend technologies
Experience designing and developing Backend-for-Frontend (BFF) layers, REST APIs, GraphQL services, and microservices-based systems.
Hands-on experience with Node.js frameworks such as Express.js or NestJS and Python frameworks such as FastAPI, Flask, or Django.
Experience building high-volume, real-time applications and streaming data solutions
Cloud-native development experience using AWS, Azure, and/or Google Cloud Platform
Experience with containerization, orchestration platforms, CI/CD pipelines, and DevOps practices
Proven experience leading engineering teams, mentoring developers, driving architectural decisions, and delivering large-scale technology solutions
Experience implementing AI-powered applications utilizing:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Vector Embeddings
Semantic Search
Agentic AI Workflows
Deep understanding of AI/ML concepts including Natural Language Processing, Generative AI, and enterprise AI integrations
Solid understanding of distributed systems, scalability patterns, performance optimization, and fault-tolerant architectures
Solid understanding of application security, authentication, authorization, and enterprise compliance standards
Proven excellent communication, stakeholder management, and cross-functional collaboration skills
Proven solid expertise in JavaScript, TypeScript, HTML5, CSS3, and modern frontend architectures
Preferred Qualifications:
Master's degree
Experience architecting and delivering large-scale enterprise web applications with modern frontend frameworks such as React, Next.js, Angular, and micro-frontend architectures
Experience building reusable design systems, component libraries, and enterprise UI platforms that enable consistency and scalability across products
Experience designing Backend-for-Frontend (BFF) architectures, API gateways, GraphQL services, and distributed microservices ecosystems
Experience developing and operating high-scale distributed systems with strong understanding of scalability, reliability, fault tolerance, resilience engineering, caching strategies, and performance optimization
Experience with cloud-native application development using AWS, Azure, or GCP, including containerization, Kubernetes orchestration, infrastructure automation, and CI/CD practices
Experience implementing enterprise security architectures including OAuth, OpenID Connect, SSO, RBAC, encryption, secrets management, and regulatory compliance requirements
Hands-on experience integrating AI/ML and Generative AI capabilities into user-facing applications, including LLMs, RAG architectures, semantic search, AI copilots, conversational interfaces, and agentic workflows
Experience with AI application frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex, or similar orchestration platforms
Experience with vector databases, semantic retrieval systems, and knowledge platforms including Pinecone, ChromaDB, Weaviate, pgvector, Azure AI Search, and Neo4j
Experience with modern data platforms and streaming ecosystems including Apache Kafka, Spark, Databricks, Snowflake, BigQuery, and large-scale ETL/ELT architectures
Proven solid expertise in frontend performance optimization, accessibility (WCAG), responsive design, SSR/ISR strategies, rendering optimization, and modern UI engineering best practices
Proven expertise in building real-time applications using WebSockets, Server-Sent Events (SSE), event-driven architectures, and streaming technologies
Proven solid DevOps, observability, and production operations experience, including logging, monitoring, distributed tracing, performance profiling, and production incident management
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.
#NJP#NIC