Platform Engineer

High-Performance Infrastructure & Automation-Systems Engineer

We are looking for a Systems Engineer to join a team focused on infrastructure automation, platform engineering, and service orchestration. This role is integral to designing, optimizing, and scaling the compute environments that support low-latency trading and large-scale research workloads.

What You’ll Work On

• As a Systems Engineer, you’ll develop, deploy, and maintain highly automated, self-service infrastructure platforms across on-premise, bare-metal, and cloud environments. You will be responsible for ensuring system reliability, performance tuning, and operational scalability, working across compute, storage, networking, and orchestration layers.
• Key responsibilities include:
  🛠 Infrastructure as Code & Automation – Develop and maintain automated provisioning systems, OS image management, and API-driven infrastructure orchestration using tools like Terraform, Ansible, and Python.
  🖥 Compute Platform Management – Optimize and scale large-scale virtualization (KVM, VMware), container orchestration (Kubernetes), and bare-metal deployments.
  ☁ Cloud & Hybrid Infrastructure – Design and integrate multi-cloud solutions while ensuring seamless interoperability with on-premise infrastructure.
  🔍 Observability & Performance Engineering – Build monitoring, logging, and performance tuning solutions to ensure ultra-low latency and high availability across critical services.
  🔄 CI/CD & Service Orchestration – Architect and optimize deployment pipelines using GitLab CI, Jenkins, and ArgoCD for infrastructure and application delivery.
  🔗 Networking & Systems Integration – Work on low-latency networking, storage architecture, and service discovery with technologies like Consul, Envoy, and VXLAN.
  ⚙ User Enablement & Self-Service Tooling – Develop internal self-service platforms and API-driven automation to streamline infrastructure provisioning and management for engineering teams.

What You Bring

• We are looking for highly technical engineers with deep expertise in infrastructure and automation at scale. The ideal candidate will have:
  💻 Expertise in Linux Systems Engineering – Deep understanding of kernel tuning, boot processes, PXE provisioning, and system internals.
  🐍 Proficiency in Python & Scripting – Experience developing infrastructure tooling, automation scripts, and APIs.
  ☁ Cloud & Virtualization Expertise – Hands-on experience managing Kubernetes, KVM, VMware, or cloud-native workloads (AWS, GCP, or Azure).
  🛠 Infrastructure as Code (IaC) & Automation – Strong experience with Terraform, Ansible, SaltStack, or Chef.
  📡 Networking & Performance Optimization – Understanding of TCP/IP, BGP, multicast, and network acceleration techniques.
  ⚡ Storage & Filesystem Optimization – Familiarity with Ceph, NFS, and high-performance distributed storage.
  🚀 CI/CD & Software Deployment – Experience with GitOps, containerized deployments, and release automation.
  🔧 Incident Response & Troubleshooting – Strong debugging and problem-solving skills in production environments.

Why Join Us?

• ✔ High-Impact Engineering – Build and maintain critical infrastructure for real-time, high-throughput trading and research workloads.
  ✔ Deep Technical Challenges – Work with low-latency systems, high-performance computing, and distributed infrastructure.
  ✔ Engineering-First Culture – Collaborate with top engineers in a highly technical, problem-solving environment.
  ✔ Cutting-Edge Technology Stack – Work with the latest tools, languages, and architectures to drive performance and scalability.
• If you have a passion for systems engineering, automation, and performance optimization, we want to hear from you! Apply today and help us push the limits of high-performance infrastructure. 🚀