
1 - 10 employees
💼 Consulting
🎯 Recruiter
👥 HR Tech
Consulting • Recruitment • HR Tech
i4ce-connect is a talent platform and engineering recruitment firm that connects companies with a vetted network of pre-qualified software engineers and technical specialists. It offers managed searches, contract staffing, contract-to-hire, permanent placement, turnkey engineering teams, and consulting services, while handling contracts, payroll, compliance, and ongoing engagement management. The company emphasizes rigorous multi-stage technical and behavioral vetting, rapid onboarding, a 90-day placement guarantee, and dedicated account partners to support B2B tech clients.
🕒 September 25
Where this job comes from
Posted on i4ce-connect's careers page, not through a job board
First seen by Remote Rocketship September 25
Still open on i4ce-connect's site. Checked 5 hours ago.

1 - 10 employees
💼 Consulting
🎯 Recruiter
👥 HR Tech
Consulting • Recruitment • HR Tech
i4ce-connect is a talent platform and engineering recruitment firm that connects companies with a vetted network of pre-qualified software engineers and technical specialists. It offers managed searches, contract staffing, contract-to-hire, permanent placement, turnkey engineering teams, and consulting services, while handling contracts, payroll, compliance, and ongoing engagement management. The company emphasizes rigorous multi-stage technical and behavioral vetting, rapid onboarding, a 90-day placement guarantee, and dedicated account partners to support B2B tech clients.
• Design, deploy, and scale a high-performance cloud compute platform and distributed GPU infrastructure • Provision, manage, and optimise large-scale bare-metal servers and specialised hardware across multi-datacenter environments • Architect and maintain GPU-accelerated compute clusters, including driver deployments, CUDA runtimes, and firmware life-cycle operations • Build and automate KVM and QEMU hypervisor environments and Kubernetes container orchestration platforms • Implement and maintain ultra-low-latency network fabrics, VPCs, and SDN solutions • Deploy and scale high-throughput distributed storage architectures for data-heavy training and inference pipelines • Optimise storage, memory, compute, and inter-node interconnect performance • Develop infrastructure-as-code configurations using Terraform, Ansible, or custom automation scripts • Design monitoring, alerting, and observability frameworks for system telemetry, hardware health, and thermal efficiency • Participate in high-availability architecture planning, disaster recovery testing, and incident response • Evaluate emerging server hardware, accelerator technologies, and cloud orchestration frameworks • Collaborate with Software and Platform Engineering teams to build APIs and control planes on physical infrastructure • Maintain architecture documentation, hardware baseline specifications, and operational runbooks • Work closely with Software, Architecture, and Product teams to improve infrastructure performance, reliability, and security
• Experienced Systems Engineer • Deep, hands-on mastery of Linux systems, including Debian/Ubuntu, RHEL/Rocky, and Arch variants • Kernel tuning and low-level system performance optimisation experience • Proven experience managing enterprise server hardware, high-density server chassis, and GPU/accelerator platforms • Strong proficiency with Kubernetes, Docker, KVM, and cloud management frameworks such as OpenStack or custom orchestrators • Expertise in automated system provisioning and configuration management using Ansible, Puppet, or Chef • Expertise in Infrastructure-as-Code using Terraform • In-depth knowledge of BGP, VLANs, overlay networks, firewall policies, zero-trust architectures, and multi-tenant security isolation • Strong analytical and troubleshooting skills under high-pressure live operational conditions • Passion for high-performance computing, open infrastructure, and scalable system design • Clear communication skills and ability to collaborate across software, architecture, and operational disciplines
• Remote work arrangement
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