AI Infrastructure Deployment Engineer

Delos Data

Cambridge

On-site

AUD 219,000 - 257,000

Full time

8 days ago

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Job summary

Delos Data is seeking a Forward Deployed Engineer to be embedded with a strategic customer, solving deployment and operational challenges in production AI infrastructure.

The role involves hands-on work in the customer data center, collaborating with our engineering team to evolve features, and contributing to RFPs and technical evaluations. This on-site position in Cambridge, UK, offers a base salary with equity and opportunities to influence product direction.

Qualifications

  • 5+ years in a hands-on infrastructure engineering role with customer exposure.
  • 0

Responsibilities

  • Serve as the dedicated technical owner for a strategic customer’s production deployment.
  • Work hands-on in the customer data center environment, including GPU/XPU clusters and schedulers.
  • Lead integration, troubleshooting, performance tuning, and root-cause analysis for production issues.
  • Guide the customer through software upgrades, cluster expansion, and new feature rollouts.
  • Build runbooks, integration guides, and automation tailored to the customer’s environment.
  • Build deep working relationships with the customer’s infrastructure, SRE, and platform engineering teams.
  • Turn customer problems into technical requirements and work with our engineering team to design features.
  • Write and test code (Python, Bash, APIs) to prototype fixes and tooling.
  • Contribute hands-on work to RFPs, RFIs, and proof-of-concept deployments for new customers.
  • Help build reference architectures and represent the company at customer workshops and events.

Skills

5+ years hands-on infra engineering
AI data center experience
Distributed systems debugging
Engineering collaboration
On-site travel readiness

Education

Bachelor's or Master's in CS/EE

Tools

Kubernetes
Slurm
Tinkerbell
Canonical MaaS
Prometheus
Grafana
OpenTelemetry

Job description

Delos Data is seeking a Forward Deployed Engineer to be embedded with a strategic customer, solving deployment and operational challenges in production AI infrastructure.

The role involves hands-on work in the customer data center, collaborating with our engineering team to evolve features, and contributing to RFPs and technical evaluations. This on-site position in Cambridge, UK, offers a base salary with equity and opportunities to influence product direction.

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