Senior Distributed Systems Engineer

Senior Distributed Systems Engineer to build large-scale, real-time streaming services and APIs that power internal and external applications. You will own the design and development phases of backend services and APIs for the data platform, including components like messaging queues, databases, ingestion pipelines, caching layers, and services that run in the cloud or on-prem. You’ll lead planning with engineering and product teams, apply architecture and design experience to various system parts, and mentor others. The role emphasizes ownership mindset, curiosity, collaboration, and the ability to explain technical concepts to engineers and product managers. You’ll work with AI to amplify skills and improve efficiency, and familiarity with gRPC/REST, data serialization (Protobuf, MessagePack), and containerized services in Kubernetes is a plus. The compensation ranges vary by location, with high-cost-area ranges around $157k-$188k and other locations around $137k-$175k, with localization for remote work. The role is open to remote work across the continental US, and benefits include equity, health/dental/vision, retirement contributions, parental leave, mental health benefits, flexible PTO, and bonus plans where applicable. The posting notes an emphasis on real-time, scalable backend systems and data-platform developments, and requires strong communication and collaboration across teams. The role may involve occasional travel to onboarding at HQ and collaboration across distributed teams.