Software Engineer

UnitedHealth Group•Basking Ridge, NJ

5d•$72,800 - $130,000•Remote

About The Position

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. Design, develop, test, deploy, and maintain scalable software solutions using Java, Spring Boot, and Python. Build and optimize microservices and APIs using Spring Boot, Spring Cloud, and Kafka for high-throughput, event-driven architectures. Leverage AWS and Google Cloud services deliver secure, resilient, and cloud-native applications. Implement containerization and orchestration strategies using Docker and Kubernetes. Integrate MongoDB and Vault for data persistence and secure secrets management. Apply AI/ML tools and APIs to enhance product intelligence and automation. Utilize AI-powered development tools to streamline builds, testing, and productivity. Collaborate with Product Managers, Designers, Data Scientists, and DevOps Engineers to translate business needs into technical solutions. Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives, contributing to continuous improvement. Conduct code reviews and enforce best practices for code quality, security, and performance. Troubleshoot and resolve complex technical issues, ensuring system reliability and scalability. Document system designs, technical decisions, and implementation details for knowledge sharing. Mentor junior engineers and contribute to a culture of engineering excellence. Adhere to company policies, employment terms, and evolving business directives, including team changes, work location flexibility, and shift adjustments. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field
4+ years of hands-on experience in software development
4+ Strong proficiency in Java, Spring Boot, Spring Cloud, and Kafka for backend development
3+ years Exposure to modern architectural patterns such as microservices, serverless computing, and event-driven architecture
3+ years Knowledge in deploying and managing applications on cloud platforms
3+ years of understanding of Kubernetes, Docker, and container orchestration for scalable deployment
2+ years’ experience with MongoDB and secure secrets management using Vault
2+ years Familiarity with AI/ML tools and integrating them into SDLC
2+ years’ Experience with modern development productivity tools, including AI-assisted coding platforms
2+ year’s Experience with performance optimization, monitoring, and logging tools such as Splunk or Dynatrace

Nice To Haves

Experience in healthcare domain and understanding of healthcare data and workflows
Hands-on experience with containerization technologies (Docker, Kubernetes)
Familiarity with DevOps practices, Infrastructure as Code, and tools like Jenkins, Terraform, Git, and GitHub Actions
Experience in training team members
Hand-on experience with AI productivity tools such Github Copilot

Responsibilities

Design, develop, test, deploy, and maintain scalable software solutions using Java, Spring Boot, and Python.
Build and optimize microservices and APIs using Spring Boot, Spring Cloud, and Kafka for high-throughput, event-driven architectures.
Leverage AWS and Google Cloud services deliver secure, resilient, and cloud-native applications.
Implement containerization and orchestration strategies using Docker and Kubernetes.
Integrate MongoDB and Vault for data persistence and secure secrets management.
Apply AI/ML tools and APIs to enhance product intelligence and automation.
Utilize AI-powered development tools to streamline builds, testing, and productivity.
Collaborate with Product Managers, Designers, Data Scientists, and DevOps Engineers to translate business needs into technical solutions.
Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives, contributing to continuous improvement.
Conduct code reviews and enforce best practices for code quality, security, and performance.
Troubleshoot and resolve complex technical issues, ensuring system reliability and scalability.
Document system designs, technical decisions, and implementation details for knowledge sharing.
Mentor junior engineers and contribute to a culture of engineering excellence.
Adhere to company policies, employment terms, and evolving business directives, including team changes, work location flexibility, and shift adjustments.