Databento - Site Reliability Engineer

• Own uptime, SLAs, and SLOs across our API and platform services. • Set reliability and operational best practices for other developers without slowing them down. • Build and maintain observability across logging, metrics, and tracing. • Design and run high-availability deployment and containerization strategies. • Profile and optimize Python applications for throughput, latency, and cost. • Debug production issues down to the OS level using tools like strace, perf, eBPF, ss, and gdb. • Improve deployment and CI/CD workflows. • Find what needs fixing on your own, then take projects from idea to completion. • Preferred background • Full-time experience in SRE, DevOps, or backend engineering, preferably at a trading firm, tech company, or high-growth startup. • Hands-on experience with observability tooling for logging, metrics, and tracing (e.g. Prometheus, OpenTelemetry, VictoriaMetrics, Jaeger, Logstash, Loki, Vector). • Experience with containerization and high availability deployment (e.g. Docker, Podman, Docker Compose, Docker Swarm, Kubernetes, k3s). • Strong proficiency in Python, including application development and performance optimization. • Comfortable with Linux debugging and profiling tools such as strace, perf, eBPF, ss, and gdb. • A track record of measurable impact in a recent role, such as improving performance by X%, speeding something up Nx, or saving $Y per year. • Experience with alerting and incident response best practices is a plus. • Familiarity with configuration management or infrastructure-as-code tools (Ansible, Terraform) is also helpful. • Bonus if you've done HTTP benchmarking, load testing, and capacity planning. • Database schema design and query optimization skills are nice to have. • Good communication skills and work ethic for a remote workplace. • An interest in financial data or algorithmic trading.