Role Description Own the platform that powers our accelerator cloud. Your scope spans bare-metal provisioning, multi-tenant Kubernetes, SLURM scheduling, control planes, and the automation and observability that keep thousands of compute nodes running as a single production system. - Build the control plane and APIs that unify our compute fleet - Own provisioning and lifecycle from rack bring-up to node retirement - Operate the scheduling layer for training and inference workloads - Architect multi-tenancy: isolation, quota, fairness, and accounting - Build automation that eliminates manual operations - Drive reliability, observability, and incident response across the fleet Qualifications - BS in CS, EE, or related field, or equivalent experience - 5+ years in infrastructure, platform, or backend engineering - Advanced software engineering skills: Rust, Go, or Python - Deep understanding of Linux, storage, and distributed systems - Experience with workload schedulers: SLURM, Kubernetes scheduling, or equivalent - Expertise with automation tooling: Terraform, Ansible, Helm - Experience architecting multi-tenant systems - Production SRE experience: on-call, incident response, observability Benefits - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Company Description We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.

• Maintain Bullhorn's standard SLA for infrastructure and system uptime at 99.95%+ • Serve as an escalation point for hardware failure and infrastructure incidents, resolving complex issues beyond L1 scope • Develop repeatable diagnostic approaches for the team. • Manage critical production incidents independently, coordinating cross-functional response. • Oversee datacenter inventory strategy and spares depot management. • Ensure datacenter facilities are maintained to a high standard. • Administer Linux (RHEL/CentOS, Debian) and Windows Server environments. • Manage enterprise SAN and NAS platforms (iSCSI, FCP, CIFS, NFS). • Administer server hardware platforms, chassis management systems, and hypervisor environments. • Independently lead infrastructure maintenances to maintain uptime SLA's inline with change management. • Maintain Infrastructure Asset Management systems. • Apply monitoring and observability tooling to maintain unified visibility. • Independently lead medium-to-large datacenter infrastructure projects from scoping through delivery. • Maintain vendor relationships for enterprise hardware and services. • Produce high-quality technical documentation.

• Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. • Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). • Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. • Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. • Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. • Develop tools and dashboards to visualise performance metrics, bottlenecks, and trends. • Contribute to internal tooling, frameworks, and best practices

• Support and maintain Azure cloud infrastructure, including virtual machines, networking, backups, monitoring, and access-related services • Administer Windows and Linux servers • Deploy and configure cloud resources • Troubleshoot infrastructure and application issues • Support monitoring, backup, patching, and lifecycle activities • Participate in migrations and infrastructure improvement initiatives • Contribute to automation activities using scripting and standard tools • Create and maintain technical documentation, SOPs, and runbooks • Support incident, problem, and change management processes