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Eqvilent

Systems Engineer (Trading Infrastructure)

Remote (Remote)midAdded 1 month ago

About this role

Join a globally distributed trading infrastructure team as a Systems Engineer to design, deploy, and maintain production-ready infrastructure across multiple regions. You'll handle full-stack setup tasks from environment provisioning through performance optimization, working closely with network and hardware teams to ensure reliable trading systems.

What you'll do

  • Execute end-to-end infrastructure deployments across regions including setup, validation, and production readiness
  • Manage Linux servers, OS baselines, automation, configuration, and performance tuning
  • Design and execute comprehensive testing including connectivity, load, failure scenarios, and readiness validation
  • Troubleshoot complex infrastructure issues across OS/kernel/driver layers and coordinate with vendors and peers
  • Build automation and rollout playbooks using Terraform, Ansible, and scripting
  • Participate in on-call rotation and incident response for trading infrastructure

What they're looking for

  • Linux production systems and troubleshooting
  • Networking fundamentals (TCP/IP, DNS, routing, packet analysis)
  • Bash and Python scripting
  • Terraform and Ansible
  • Multi-layer debugging and problem isolation
  • Infrastructure automation and configuration management
  • Technical communication and documentation
  • Low-latency performance tuning (preferred)

Benefits

  • Remote work from anywhere globally
  • Access to global offices anytime
  • Opportunities for professional growth and learning
  • International team of highly qualified professionals
  • Cutting-edge hardware and technology
  • Challenging technical problems in the trading domain
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Eqvilent

Eqvilent builds high-performance, low-latency trading infrastructure and systems that process massive financial market data volumes with extreme speed requirements. The company is hiring C++/CUDA developers, systems engineers, and software engineers to develop production trading platforms, optimize computational algorithms, and maintain globally distributed infrastructure.

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Likely interview questions

  • Walk us through your experience troubleshooting a complex production issue that spanned multiple layers (OS, kernel, network, or hardware). How did you approach it and coordinate with other teams?
  • Describe your hands-on experience with Linux systems administration and performance tuning. What tools do you use to diagnose and resolve bottlenecks?