Summary
Own the infrastructure powering demanding real-time AI workloads in highly secure, on-premises environments. You will tackle challenging reliability and infrastructure problems, work with a rapidly expanding engineering organization, and contribute to technology designed for high-stakes applications.
Highlights
High-impact SRE role supporting demanding real-time AI infrastructure in high-security environments. The position offers substantial infrastructure ownership, a technically ambitious mission, strong funding, and the opportunity to work alongside a rapidly growing engineering organization.
Description
This role is with one of Dex's trusted partner companies.
We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
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The role
This is a defence AI company.
Their mission is to protect democracies, building critical technology that ensures open societies can make sovereign decisions.
They're solving some of the hardest real-time AI problems in high-security, on-premise environments, backed by significant funding from leading investors and growing rapidly with hundreds of engineers across Europe from top-tier tech companies.
You'll own the infrastructure that makes this mission possible.
This isn't just another cloud ops role; you'll design and build cloud-native platforms on-premises – secure, multi-tenant Kubernetes clusters with zero-trust networking and policy-as-code governance.
You'll develop the automation that allows development teams to operate services at scale, ensuring reliability and compliance in environments where the stakes are exceptionally high.
The work
Design and build secure, multi-tenant Kubernetes platforms for high-security, on-premise environments.Develop custom operators and controllers to automate provisioning and compliance.Implement robust observability frameworks (Grafana, Prometheus, distributed tracing) for critical systems.Maintain MLOps platforms, enabling AI researchers to deploy and scale models in production.Collaborate with security teams on supply chain security, container scanning, and runtime protection.
What You Bring
Deep experience operating production Kubernetes clusters, including custom controllers/operators and service mesh architectures (Istio, Linkerd).Proven track record running cloud-native workloads in on-premises or air-gapped environments, understanding the demands on GitOps, CI/CD, and supply chain security.Expert-level knowledge of the observability stack (Grafana, Prometheus, Loki, Tempo, OpenTelemetry), including building dashboards, alerts, and SLI/SLO frameworks.Proficiency with infrastructure as code (Terraform, Ansible, OPA/Gatekeeper) and comfortable scripting in Go, Python, Rust, or Bash.Expert understanding of networking concepts, protocols, security, and deep Linux system administration for highly available, distributed systems.Experience with MLOps platforms like Kubeflow or MLflow.
Why apply through Dex
This is a rare, high-impact role that won't be openly advertised.
Apply through Dex to get properly briefed on the company and the full scope of the opportunity, skipping the cold application process.
We'll help you stand out for this role and others like it.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/ec04100d-20af-4e64-a918-bb0759714a6a
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