We9re looking for a senior software engineer to build and own the production systems and shared frameworks behind our modeling platform. You9ll work primarily in Python and Rust to keep our real-time products fast, reliable, and scalable. This is a remote position. This is a software engineering role, not a data science role - you9ll partner closely with data scientists and own the systems their models run on. We9re looking for engineering depth, not modeling. Duties • Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products • Own the deployment and operation of your own services on Kubernetes within a larger platform - this is service ownership within a shared ecosystem, not cluster administration or a DevOps function • Proactively improve and extend our Rust codebase • Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase • Set up and maintain alerting, monitoring, and observability for the services you own • Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams • Apply large-scale data processing techniques to build scalable, innovative sports betting products • Examine and improve the integration and scaling of our real-time operations, simulations, and experiments • Develop solutions for open-ended problems where information is incomplete and no precedent exists Requirements • Bachelor9s degree in Computer Science or a related technical field • 5-7 years building and shipping production software • Advanced Python experience (Rust experience strongly preferred) • Comfortable owning your own services in a Kubernetes environment • Experience setting up alerting and monitoring systems • Experience with Kafka (or a comparable streaming / event platform) • Proficiency with SQL • Experience with source control (GitHub) and related CI/CD processes • Experience working in AWS environments • Track record of technical leadership and partnering across teams on complex, ambiguous problems • Strong communication skills with both technical and non-technical audiences Base salary: Starting at $170,000 - DOE Department Engineering & Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote