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Devops engineer (defence ai tech)

Slough
Durlston Partners
Engineer
Posted: 1 April
Offer description

DevOps Engineer – High-Growth Defence AI Tech – London – £130,000 + Equity


A well-funded, mission-driven AI startup is redefining how autonomous systems and robotics are deployed at scale. Built by exceptional engineers who thrive on hard, high-impact problems — this is a place where your work genuinely matters, and where autonomy is given from day one, not earned after years of ladder-climbing.


This is a platform engineering role with real ownership. You'll design and maintain the standardised, automated route from local code to production - treating infrastructure as a product and internal developers as your primary customers.


What You'll Do

* Own the internal developer platform end-to-end - identifying bottlenecks in the delivery lifecycle and building automated solutions to eliminate them
* Architect standardised deployment patterns with security, compliance, and observability baked in from the start
* Drive GitOps adoption to ensure declarative, reproducible, and fully audited state management across all environments
* Manage self-hosted engineering tooling (e.g. GitLab) for high availability and seamless ecosystem integration
* Build custom tooling in Python, Go, or Bash to unify disparate systems into a cohesive, self-service platform


What They're Looking For

* 3+ years building or scaling internal developer platforms or sophisticated CI/CD ecosystems
* Expert-level IaC proficiency - Terraform, OpenTofu, or Pulumi
* Strong Kubernetes and container orchestration experience, with a focus on abstracting complexity for end-users
* Deep understanding of cloud-native primitives across compute, networking, and storage
* Scripting or systems programming competency in Python, Go, or Bash


What They Offer

* Highly competitive salary + equity in a well-funded, high-growth startup at a pivotal moment
* True ownership from day one - no corporate hierarchy, no approval theatre
* Work on some of the most technically challenging and consequential infrastructure problems in the AI space
* A small team of elite engineers where your impact is visible, immediate, and valued

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