Location: Remote.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
Position SummaryAs an Associate Software Engineer on our team, you will design, build, and deploy high-performance microservices, automated pipelines, and cloud-native solutions in a fully remote environment. Working with a modern technology stack that includes Python, FastAPI, MongoDB, Kafka, Docker, and Kubernetes, you will help deliver scalable systems that support complex healthcare workflows. In this role, you will also leverage enterprise-approved AI tools and platforms to automate engineering processes, streamline workflows, and build intelligent capabilities into enterprise-scale solutions.
Primary Responsibilities- Design, develop, and deploy scalable backend services and microservices using Python and FastAPI
- Build event-driven architectures with Apache Kafka and manage data persistence using MongoDB
- Containerize applications using Docker and deploy, maintain, and monitor workloads in Kubernetes environments
- Establish, maintain, and optimize automated CI/CD workflows using GitHub and GitHub Actions
- Design, develop, and deploy AI-powered solutions and automation capabilities to address complex business challenges with an emphasis on responsible use of AI
- Use enterprise-approved AI tools to streamline workflows, automate software engineering tasks, and drive continuous operational improvement
- Evaluate emerging technical trends and AI capabilities to inform solution design and drive strategic innovation
- Collaborate with cross-functional development teams, participate in code reviews, and contribute to software design and architecture discussions
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction 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 degree
- 1 years of software development experience
- 1 years of experience building backend applications or microservices using Python
- 1 years of experience with RESTful API development using frameworks such as FastAPI
- 1 years of experience with version control and automated workflows using GitHub and GitHub Actions
- 1 years of experience containerizing applications using Docker
- 1+ years of experience working with relational or NoSQL databases (e.g., MongoDB)
Preferred Qualifications- Master's degree in Computer Science, Software Engineering, Information Technology, or a related field
- Experience with container orchestration and management using Kubernetes
- Experience with event streaming or messaging architectures using Apache Kafka
- Experience designing, building, and deploying cloud-native applications
- Knowledge of responsible AI practices, prompt engineering, or integrating machine learning/AI models into production environments
- Demonstrated experience utilizing AI tools or techniques to automate tasks, improve workflow efficiency, or build application features
*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 $60,200 to $107,400 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.
