AI Infrastructure Engineer

Delos Data

. Serve as the dedicated technical owner for a strategic customer's production software deployment .

Posted 10/28/2026full-timeCambridge • United KingdomMid-LevelSenior💰 £115,000 - £135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and managing GPU/XPU clusters, with strong capabilities in Python and Bash scripting for production environments. Proven ability to collaborate with engineering teams to define and deliver features based on customer needs while maintaining high standards of performance and reliability.

Highest-signal resume keywords

GPU/XPU Cluster DeploymentPython ScriptingBash ScriptingKubernetes ExperienceDistributed-Systems Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBashGPU/XPU ClustersLinuxAPIsJob SchedulingPerformance TuningRoot-Cause AnalysisIntegration GuidesAutomation

Soft Skills

Customer Relationship BuildingTechnical CommunicationCollaboration

Tools & Technologies

KubernetesSlurmTinkerbellCanonical MaaSObservability Stacks

Industry Keywords

Infrastructure EngineeringProduction Software DeploymentTechnical OwnerRFPsRFIs

Tech Stack

Tools & technologies

KubernetesLinuxPython

About the role

Key responsibilities & impact

Serve as the dedicated technical owner for a strategic customer's production software deployment
Work hands-on in the customer's AI data center environment, including GPU/XPU clusters, high-speed fabrics, schedulers, and orchestration layers
Lead integration, troubleshooting, performance tuning, and root-cause analysis for production issues
Guide software upgrades, cluster expansion, and new feature rollouts
Build runbooks, integration guides, and customer-specific automation
Build working relationships with infrastructure, SRE, and platform engineering teams
Turn customer problems into technical requirements and work with engineering to design and deliver features
Write and test Python, Bash, and API code for fixes, integrations, and tooling
Feed insights on bugs, feature gaps, and competitive needs into product and engineering
Align customer milestones with product release cycles
Contribute technical work to RFPs, RFIs, technical evaluations, and proof-of-concept deployments
Build reference architectures, demo environments, and technical collateral
Represent the company at customer briefings, technical workshops, and industry events as needed

Requirements

What you’ll need

5+ years in a hands-on infrastructure engineering role with direct customer or internal-customer exposure
Experience deploying and operating GPU/XPU clusters with high-speed interconnects (InfiniBand/RoCE/Ethernet/NVLink), job scheduling, and training/inference workloads
Strong distributed-systems debugging skills
Production-quality scripting and tooling in Python and Bash
Experience with Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms
Deep proficiency with Linux, containers, and APIs
Track record of defining and shipping features with engineering teams based on field needs
Comfortable whiteboarding with SREs and briefing senior infrastructure leaders
Willingness to work on-site with the customer and travel as needed
Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
Current legal right to work in the United Kingdom is queried in the application
Employer sponsorship requirements for work in the United Kingdom are queried in the application

Benefits

Comp & perks

Equity
Opportunity to work with experienced builders and operators
Meaningful work alongside a collaborative team
Growth support and empowerment
Customer and industry event participation