• You will own the end-to-end reliability and performance of many of our most critical systems. • Working in lockstep with Product and Engineering, you will design, build, and refine the platform that our application and AI features run on, from Kubernetes and databases through CI/CD and observability. • You will focus on keeping our systems fast, reliable, and easy for developers to work with. • You will work on real infrastructure that supports features people use every day—things like: • Continuing to improve and iterate on our observability stack that includes Kibana, Grafana, OTel, and Elastic. • Database performance improvements by analyzing slow and high-volume queries, tuning indexes, optimizing query patterns and timing, and recommending schema and code changes to keep QPS and latency low. • Kubernetes improvements and upgrades, including deploying new services, improving resource utilization, tightening security, and standardizing deployment patterns across teams. • Improving CI/CD pipelines for both backend and frontend services so engineers can ship quickly and safely, with clear feedback loops, fast build times, and reliable rollbacks. • Enhancing the local developer experience so that running and debugging the app locally feels fast, consistent, and representative of production. • Helping improve our CI/CD and observability for our ML pipeline and models, bringing MLOps best practices into our existing infrastructure.