[Remote] Sr Manager, Software Engineering - Remote
Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group is a global leader in health care innovation, seeking a Senior Manager in Software Engineering. The role involves designing and maintaining backend services, implementing microservices solutions, and collaborating with cross-functional teams to deliver innovative health care solutions.
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
Skills
- 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
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview