- We are looking for someone to join our Infrastructure Engineering Team to work on the core infrastructure that underpins our platform. - You will work closely with teams across engineering and in the wider organisation to build systems with reliability, security, and scalability at their heart. - You care deeply about developer experience and will contribute to improving CI/CD pipelines, enabling new capabilities in GCP, and optimising performance of our Kubernetes cluster. - If you love automating everything, treating infrastructure as code, and building resilient systems, we want to hear from you.

• Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc • Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting • Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals) • Leverage AI to an extreme level to build tools and automate alerting and recovery • Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation • Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage • Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes) • Develop a suite of automated error detection and recovery processes • Work with partners to solve technical issues

• Define and maintain target-state architecture for IT and OT infrastructure, including networks, servers, virtualization, cloud platforms, identity, and supporting services. • Design secure, resilient, and scalable architectures for enterprise and plant environments, supporting availability, performance, and operational safety requirements. • Develop and maintain architecture standards, patterns, and reference designs for IT and OT environments. • Partner with enterprise architecture, application, and OT teams to ensure consistent adoption of standards and integration across domains. • Collaborate with OT teams to design and secure infrastructure supporting ICS, DCS, PLCs, SCADA, and plant network environments. • Support secure IT/OT convergence while respecting operational constraints, safety, and uptime requirements. • Ensure OT infrastructure designs align with industry best practices and regulatory expectations for industrial environments. • Embed security-by-design principles into all IT and OT infrastructure architectures. • Define and enforce cybersecurity architecture controls aligned to frameworks such as NIST CSF, NIST 800-53/82, IEC 62443, and Zero Trust principles. • Partner with cybersecurity teams to design controls for network segmentation, identity and access management, monitoring, logging, vulnerability management, and incident response. • Participate in architecture and security risk assessments; identify gaps and drive remediation through design and engineering standards. • Ensure infrastructure solutions comply with corporate policies, cybersecurity standards, and regulatory requirements. • Support audits, risk assessments, and tabletop exercises by providing architectural insight and documentation. • Maintain accurate architecture documentation, diagrams, and decision records. • Serve as a trusted technical advisor to IT, OT, cybersecurity, and business stakeholders. • Provide architectural guidance during project intake, design reviews, and technology evaluations. • Mentor infrastructure engineers and encourage knowledge transfer to reduce key-person dependencies. • Evaluate emerging technologies and recommend improvements to enhance security, resilience, and cost efficiency.

• Own the architecture and scalability of our backend systems, including Postgres, job queues, OpenSearch, Redis, and the data pipelines that move events between customer integrations and our product. • Scale our infrastructure from tens of thousands of jobs to orders of magnitude more, ahead of customer demand rather than behind it. • Make the tradeoffs that determine whether infra work takes weeks or months. • Set the bar for reliability, observability, and operational excellence. • Partner with Will on architecture decisions and with product engineers on the systems they build on top of yours.