• Design and implement scalable data pipelines and backend services • Work on the data infrastructure for Mapbox's global EV charging station coverage • Integrate with new charge point operators • Build systems to unify charging station data • Scale data ingestion pipelines for reliability and throughput • Support downstream Mapbox teams consuming EV charging data

• Ship full-stack features in C# .NET and React that meet the company’s quality, performance, and UX standards. • Translate user needs into delightful experiences that solve real problems (not just the spec), in close partnership with Product and Design. • Deliver data layers (PostgreSQL and MongoDB) that perform reliably at scale, with models and queries built to support large datasets. • Help shape architecture and engineering practices that scale with the product growth. • Raise the bar on code quality so the team can move fast without breaking what matters, through reviews, testing, and steady improvement. • Influence both product and technical direction by showing up as a full participant in team discussions, not just delivering specs.

Role Description Software engineering is the application of engineering to the design, development, implementation, testing, and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products, and services and to understand customer needs and to develop product roadmaps. - 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 strong 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 Qualifications - High School Diploma/GED (or higher) - 8+ years of professional software engineering experience building backend systems in Java and/or Python - 5+ years of experience leading a team of 5-10 engineers - 3+ years of experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency - 3+ years of experience in cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD - 2+ years of experience with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning) - 2+ years of experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns) - 1+ years of experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools) Preferred Qualifications - Bachelor’s or Master’s degree in Computer Science (or equivalent practical experience) Soft Skills - Strong problem-solving, communication, and ability to lead technical design discussions Requirements - All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) 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.

• Lead complex technical delivery. • Own the delivery of complex features and systems end-to-end. • Break ambiguous product problems into scalable technical solutions. • Balance speed, maintainability, reliability, and customer value in decision-making. • Guide implementation decisions and technical trade-offs across the stream. • Write maintainable, predictable, scalable code. • Perform thoughtful technical reviews that improve both code quality and engineer capability. • Influence architecture & design. • Mentor & elevate engineers. • Improve reliability & operations. • Collaborate cross-functionally with Product and QA.