You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:- Design, build, and maintain scalable backend services and APIs using Java and Python
- Architect and implement event-driven/microservices solutions using Kafka (topics, partitions, consumer groups, schemas, retries/DLQs)
- Model, optimize, and maintain relational and/or NoSQL databases (schema design, indexing, query tuning, migrations)
- Develop data processing pipelines (streaming and batch) with solid focus on reliability, observability, and performance
- Build and integrate AI/ML-powered features (model inference services, prompt orchestration, vector search, or ML pipelines) and collaborate with data science teams
- Ensure production readiness: CI/CD, automated testing, monitoring/alerting, and incident response/root-cause analysis
- Enforce engineering best practices: code reviews, secure coding, documentation, and mentoring junior engineers
- Collaborate cross-functionally with product, QA, platform/SRE, and stakeholders to deliver roadmap initiatives
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 in Computer Science (or equivalent practical experience)
- 15+ years of professional software engineering experience building backend systems in Java and/or Python
- Experience managing teams/people
- Solid experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency
- Experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns)
- Proven experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools)
- Hands-on expertise with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning)
- Solid understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD
- Proven solid problem-solving, communication, and ability to lead technical design discussions
*All employees working remotely 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 $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
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.
