We're looking for a Infrastructure/Systems Engineer to join our team in SF or NYC. They'll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML pipelines that need to run quickly, reliably, and cost-effectively on large sums of video.
Sieve’s backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. This person will spend their time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.
We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged.