You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on challenging and rewarding technical work.
Primary Responsibilities:- Analyze, Design, Code, Review, Integrate, Implement, Install, deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI and latest technologies including Java/J2EE, React, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker.
- Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems.
- Stay up to date with emerging technologies, frameworks, and industry trends related to payment systems and cloud computing
- Design and implement microservices-based architecture using domain-driven design principles
- Implement robust monitoring, logging, and alerting mechanisms to ensure system performance and availability
- Independently perform coding and unit testing, and assist/mentor team members as needed, including conducting code reviews
- Develop highly resilient and highly available components for the payment system
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.
Required Qualifications:- Bachelor's or master's degree in computer science, Data Science, or a related field
- 8+ years of software engineering experience designing and deploying microservices and RESTful APIs using Java 17/21, Spring Boot and REST Web Services
- 5+ years of experience with relational databases (Oracle, PostgreSQL, MySQL) using Spring Data JPA or Hibernate
- 5+ years of experience with PostgreSql, MS SQL Server, or Oracle database
- 4+ years of experience working with Microservices and Event-driven architecture like Kafka
- 3+ years of experience deploying scalable applications in cloud environments (AWS or Azure) using Docker and Kubernetes
- 3+ years of experience setting up CI/CD automation pipelines (GitHub Actions, or Azure DevOps) and version control using Git/GitHub
- 2+ years of experience building, integrating, or leveraging enterprise AI tools and solution components to optimize engineering workflows and business processes
- 2+ years of engineering experience in building infrastructure using code (Terraform) and repeatable designs
- 2+ years of experience with Cloud environments and architecture, preferably Azure
- 1+ years of experience writing Java using AI tools like Copilot, codex or Claude
Preferred Qualifications:- 3+ years of experience in healthcare payment domain
- 3+ years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration
- 2+ years of experience with payment industry standards, protocols, and security best practices
- Expertise in API security protocols including OAuth 20, JWT, and OAuth Client Credentials
- 1+ years of AI experience, working on developing AI/LLM models and leading AI teams in past
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
#RPO #GREEN