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Systems Engineer

Databento · Remote / Boston / Salt Lake City / San Francisco / New York · Remote

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About Databento

Databento provides real-time and historical market data APIs. Access data for equities, futures, options, and more with one integration. Sign up for $125 in free credits. Backed by NEA.

About the role

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.

What they're looking for

  • Strong Linux knowledge
  • Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred, Terraform)
  • Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage)
  • Basic networking (OSI model, IP protocols, switching/routing)
  • Ability to code in Python and write shell scripts
  • DevOps/GitOps mindset
More about this role

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 market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

  • Systems and network configuration.
  • Bare-metal and containerized application deployment.
  • Maintaining large storage clusters.
  • Instrumenting performance measurement and alerts.
  • Improving systems automation and...

Read the full posting on Databento's site ↗

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