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Jobs(26,622)/Systems Engineer Role(168)/Databento (13) - Systems Engineer
Databento

Databento - Systems Engineer

Remote / Boston / Salt Lake City / San Francisco / New York - Hybrid$150k - $230k8mo ago
RemoteMidNAFintechLife InsuranceCloud ComputingInsuranceSystems EngineerLinuxPuppetTerraformAnsiblePython

Requirements

• 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. • 5+ years of full-time experience in systems engineering or infrastructure roles. • Bachelor’s degree in Computer Science or a related field. • Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available. • Nice-to-haves • Experience with distributed storage systems (e.g., Ceph). • Customer support experience and strong problem-solving abilities. • Prior experience at a trading or fintech firm, or a strong interest in learning fintech. • Database administration (MySQL, ClickHouse, Redis). • Cloud engineering basics (AWS, GCP — compute, storage). • Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor). • Systems and network tuning. • Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki). • Ability to travel to data centers in New Jersey or Boston on short notice (within one week). • 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. • The base salary range for this role is $150,000–$230,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role.

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 delivery to customers and vendor partners. • Occasional physical infrastructure deliveries and systems provisioning.

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