Staff Software Engineer, Node Infra

Responsibilities

We are representing a confidential AI organization seeking a Staff Software Engineer to lead node infrastructure strategy. In this role, you will:

• Own the technical strategy and roadmap for node lifecycle management—ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved—whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices including incident response, postmortem culture, and on-call
• Support the growth of engineers around you through technical mentorship and coaching

What We're Looking For

Required qualifications:

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications:

• 7+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Location: London (hybrid—expect at least 25% time in office)

Visa sponsorship: Available for this role, though not guaranteed for all candidates. If an offer is extended, every reasonable effort will be made to secure sponsorship.

How We Work with You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional engineers with high-impact roles. When you apply through our platform:

• A dedicated recruiter will review your application and conduct an initial screening
• If there's a strong fit, we'll submit your profile to our client for consideration
• We'll coordinate the interview process and provide guidance throughout
• Please do not contact the client directly—all communication should flow through Get A Job.ai to ensure the best candidate experience

Pay

Pay via Get A Job.ai: £325,000—£485,000 GBP annually

Equal Opportunity: Get A Job.ai is committed to fostering an inclusive recruitment process. We encourage applications from candidates of all backgrounds and experiences.