Senior Software Engineering Lead - Java, python, React/Angular/Next.js

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
Build and Integrate data warehousing solutions such as Snowflake and Databricks manage large-scale data pipelines
Develop Backend Pipeline Frameworks: Leverage modern pipeline frameworks and tools to improve development productivity. For example, use Databricks Delta Live Tables or Lakehouse pipelines to declaratively define data flows where applicable. Explore the use of Spark Declarative Lake flow Pipelines or similar technologies to simplify the orchestration of complex data processes
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 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.
7+ years of experience over API design, service integration, and backend system engineering
7+ years of Experience building API-driven platforms, reusable frameworks, and enterprise-grade integrations
7+ years of solid engineering discipline Clean, testable, maintainable code, Debugging, performance tuning, and system optimization
5+ years of experience to frontend frameworks (React/Angular/Next.js) to support end-to-end solution delivery
5+ years of experience in SQL for data manipulation and query optimization. Knowledge of Python and Apache Spark (using PySpark) for building data pipelines; ability to write efficient code for batch and streaming data transformations
5+ years of strong Azure cloud experience, building and operating cloud-native applications
4+ years of experience using Azure, Databricks or an equivalent cloud-based data platform. Comfortable with managing clusters, using notebooks, and working with Delta Lake or Parquet files. Familiarity with cloud data services and tools for pipeline orchestration is expected
4+ years of 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
LLM orchestration, prompt engineering, and AI workflow automation
Experience operating in Agile/Scrum teams with consistent delivery ownership
Working knowledge of the AI PDLC lifecycle (build, evaluate, deploy, monitor)
Knowledge on Adobe Experience Platform (AEP), including Real-Time Customer Profile, Identity Service, Data Ingestion, Adobe Journey Optimizer (AJO), and Campaign Orchestration capabilities
Knowledge on RAG (Retrieval Augmented Generation) pipelines, enabling knowledge-driven and context-aware AI applications
Working Knowledge of Adobe Experience Platform (AEP), including Real-Time Customer Profile, Identity Service, Data Ingestion, Adobe Journey Optimizer (AJO), and Campaign Orchestration capabilities.
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
Collaborate effectively across Product, Infra, DevOps, and Architecture
Proven expertise in designing and scaling microservices-based and distributed architectures with strong focus on resilience, latency, and throughput
Proven advanced ability to communicate effectively with both technical peers and non-technical stakeholders (explaining issues in plain language). Should be comfortable participating in collaborative development (code reviews, pair programming when needed) with 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.

Work arrangement
No