Remote FinTech Systems Engineer - Cloud & Storage Automation

Databento; Salt Lake City (UT); Remoto; USD 120.000 - 180.000; Tempo integral

Benefícios oferecidos por esta vaga

Health insurance

Dental insurance

Disability insurance

Life insurance

401(k) matching

100% remote

Resumo da vaga

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.

Qualificações

• 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).

Responsabilidades

• 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.

Conhecimentos

Linux

Python scripting

Shell scripting

DevOps / GitOps mindset

Storage concepts

Networking fundamentals

Formação

Bachelor's degree in Computer Science or related field

Ferramentas

PXE provisioning

Puppet

Ansible

Terraform

Docker

Kubernetes

Descrição da vaga

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.