The financial industry is growing at a record pace, but our data providers are still stuck in the past with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the next generation market data provider with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more.
🏢 About Databento
We're looking for a midlevel or senior IC to join our Backend Engineering team as a Site Reliability Engineer. You'll own the uptime, performance, and observability of our platform, and help set the standard for how the rest of engineering builds, ships, and monitors software.
🎯 The Role
The range of problems is wide. You'll work on petabyte-scale data processing, SaaS problems like customer management and billing, and the query systems that power our APIs. Unlike most finance firms, we're open about our tech and how we build it.
✅ Key Responsibilities
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.
Join the on-call rotation, lead incident response, and run post-incident reviews.
Find what needs fixing on your own, then take projects from idea to completion.
📌 Required Qualifications
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.
⭐ Desirable Experience
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.
🎁 Benefits
Salary information not specified in the job posting.
Please let Databento know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
Never miss a job
Join 2,000+ DevOps developers getting weekly alerts for remote and US/EU roles, Kubernetes, AWS, Terraform, filtered for your stack.
🔒 Need an IP to whitelist?
Get a dedicated static EU outbound IP for Banks, payments, EHRs, APIs, AI.
