Forward Deployed Engineer

Delos Data

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

Posted 10/13/2026full-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 operating GPU/XPU clusters, with strong skills in Python and Bash scripting for automation and tooling. Proven ability to lead technical integrations, troubleshoot complex systems, and collaborate effectively with engineering teams to define and deliver features.

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

PythonBashKubernetesSlurmTinkerbellCanonical MaaSLinuxAPIsPerformance TuningRoot-Cause Analysis

Soft Skills

Clear CommunicationCollaborationRelationship BuildingProblem-SolvingTechnical Briefing

Tools & Technologies

High-Speed FabricsSchedulersOrchestration LayersObservability StacksInfrastructure Management Platforms

Industry Keywords

Infrastructure EngineeringProduction DeploymentCustomer EngagementTechnical RequirementsProof-of-Concept Deployments

Tech Stack

Tools & technologies

KubernetesLinuxPython

About the role

Key responsibilities & impact

Serve as dedicated technical owner for a strategic customer's production 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
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 collaborate with engineering on new 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
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, job scheduling, and training/inference workloads
Strong distributed-systems debugging skills
Production-quality Python and Bash scripting and tooling
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
Ability to communicate clearly, whiteboard with SREs, and brief 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

Benefits

Comp & perks

Equity
Meaningful work alongside experienced builders and operators
Growth support and empowerment to do meaningful work