DevOps & Infrastructure Engineer (Trading Systems)

Quick Facts

• Role: DevOps & Infrastructure Engineer (Trading Systems)

• Focus: End-to-end ownership of the platform powering live crypto trading (24/7)

• Work setup: Brno, hybrid (3 days in the office)

• Compensation: 100,000–180,000 CZK per month

Description

Own and operate the underlying infrastructure platform for low-latency trading systems that run on real capital—there are no maintenance windows and production changes must be safe while markets are live. You’ll work across Linux, AWS (multi-region), on-prem infrastructure, networking, deployment, secrets/access, observability, and the data/HA layer. This role emphasizes platform ownership and engineering judgment, working directly with developers, researchers, and traders.

Responsibilities

• Own the platform end to end: Linux, AWS, on-prem, networking, deployments, secrets and access
• Make deployments safe during live market trading (versioning, rollout, verification, rollback)
• Build and maintain observability to quickly isolate latency spikes (system vs network vs exchange)
• Run and operate the data layer: replication, HA/failover, retention/compression policies, backups/restore, performance tuning
• Own networking that affects commercial outcomes: exchange connectivity, IP whitelisting, remote access, failover paths
• Improve internal platform capabilities, including automated identity/access provisioning via Python services
• Investigate and resolve incidents, sometimes on nights/weekends, and prevent repeats
• Collaborate directly with developers, researchers, and traders with full problem context

Requirements

• Deep Linux knowledge
• Infrastructure as code and container experience (Terraform/OpenTofu, Ansible, Docker or equivalents)
• Real networking expertise (TCP, routing, MTU, VPNs, firewalls, DNS; ability to debug between machines)
• Observability as a discipline (know what to measure and what telemetry to remove)
• PostgreSQL operations experience (replication, failover, backup/restore, load performance)
• CI/CD ownership (built pipelines and handled release failures)
• Useful scripting in Python or Bash (reliable enough for others to depend on)
• Strong end-to-end ownership and ability to decide, build, ship, and operate
• On-call willingness for exceptional incidents
• Diligence and discretion while working close to live trading systems

Benefits

• Real impact: reliability and latency directly affect trading results (no infrastructure-only cost center)
• Small, cross-functional team: developers, researchers, and traders work side by side
• Ownership with engineering freedom: trusted to run and improve the platform
• Fast execution: good ideas can reach production quickly
• Pragmatism and continuous learning through open knowledge sharing