Staff Infrastructure Engineer, Cluster Infrastructure

Responsibilities

Our talent team is representing a confidential AI research organization seeking a Staff Infrastructure Engineer to lead cluster infrastructure strategy in London. You will own the technical direction for agent-driven cluster lifecycle management across multiple cloud providers and private datacenters.

• Define and execute the technical roadmap for automated cluster provisioning, updates, and decommissioning at massive scale
• Partner with cross-functional teams to ensure new compute capacity is delivered on schedule
• Design and implement high-bandwidth inter-cluster connectivity solutions leveraging cloud platforms
• Collaborate with security teams to ensure all clusters are provisioned with secure-by-default configurations
• Drive strategy on cluster scalability, fault tolerance, and operational homogeneity
• Work closely with cloud providers and internal research, inference, and product teams to shape long-term infrastructure strategy
• Establish operational excellence practices including incident response, postmortem culture, and on-call health
• Mentor and coach engineers through technical leadership and hands-on guidance

What we're looking for

Required qualifications:

• Deep expertise in distributed systems, reliability engineering, and cloud platforms (Kubernetes, infrastructure-as-code, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (Rust, Go, or Python) plus Terraform experience
• Proven track record leading complex, multi-quarter technical initiatives spanning multiple teams
• Ability to build alignment across senior stakeholders and communicate effectively at all organizational levels

Preferred qualifications:

• 10+ years of software engineering experience, including time as a technical lead setting team direction
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in Kubernetes internals, cluster provisioning and management systems, or cluster orchestration systems
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis) and workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and tracking rapidly evolving software systems

Education and logistics:

• Bachelor's degree or equivalent combination of education, training, and experience in a relevant field
• Location-based hybrid policy: expected in-office presence at least 25% of the time in London
• Visa sponsorship available for qualified candidates

How we work with you

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate interviews with our client. We handle all scheduling and feedback communication throughout the process. Please do not attempt to contact the client directly, as all applications must be submitted through our platform to be considered.

Pay

This role offers competitive compensation. Specific pay details will be discussed with qualified candidates during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We encourage applications from candidates of all backgrounds.