Remote FinTech Systems Engineer - Cloud & Storage Automation

Databento

Salt Lake City (UT)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Disability insurance
Life insurance
401(k) matching
100% remote

Job summary

Databento is a market data platform for modern finance, offering real-time and historical data across futures, options, and equities through a unified API. We provide a remote-friendly environment with teammates worldwide and compensation in local currencies.

The team includes alumni from top quantitative firms, underscoring a strong engineering culture. We value Linux systems expertise, Python scripting, and DevOps/GitOps approaches.

Qualifications

  • Strong Linux knowledge and systems experience.
  • Experience with systems configuration and provisioning tools.
  • Understanding of storage concepts (RAID, LVM, filesystems).
  • Basic networking knowledge (OSI, IP, switching/routing).
  • Ability to code in Python and write shell scripts.
  • DevOps / GitOps mindset and experience.
  • 2+ years in systems engineering or infrastructure roles OR internship experience.
  • Bachelor’s degree in Computer Science or related field.
  • Authorized to work in the U.S. (no H-1B sponsorship).

Responsibilities

  • Systems and network configuration.
  • Bare-metal and containerized application deployment.
  • Maintaining large storage clusters.
  • Instrumenting performance measurement and alerts.
  • Improving systems automation and tooling.
  • On-call support.
  • Coordinating bulk data deliveries to customers and partners.
  • Occasional physical infrastructure deliveries and provisioning.

Skills

Linux
Python scripting
Shell scripting
DevOps / GitOps mindset
Storage concepts
Networking fundamentals

Education

Bachelor's degree in Computer Science or related field

Tools

PXE provisioning
Puppet
Ansible
Terraform
Docker
Kubernetes

Job description

Databento is a market data platform for modern finance, offering real-time and historical data across futures, options, and equities through a unified API. We provide a remote-friendly environment with teammates worldwide and compensation in local currencies.

The team includes alumni from top quantitative firms, underscoring a strong engineering culture. We value Linux systems expertise, Python scripting, and DevOps/GitOps approaches.

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