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Senior Site Reliability Engineer (Kubernetes & MLOps) – Defence AI Infrastructure

Helsing United Kingdom
Relocation
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AI Summary

Design, secure, and scale on-premise Kubernetes infrastructure for Helsing’s defence AI mission, focusing on observability, automation, and MLOps. Collaborate with security teams to implement zero-trust networking, supply chain security, and AI model deployment pipelines. Requires deep Kubernetes expertise, cloud-native automation, and a mission-driven mindset in high-stakes environments.

Key Highlights
Build and maintain secure, multi-tenant Kubernetes clusters with zero-trust networking and policy-as-code governance for defence AI workloads.
Develop MLOps platforms enabling AI researchers to deploy, monitor, and scale ML models in production environments.
Work in high-security on-premise environments with a focus on automation, observability (Grafana/Prometheus), and distributed systems reliability.
Key Responsibilities
Design and implement on-premise Kubernetes infrastructure platforms for scalable, cloud-native AI and defence workloads.
Architect secure multi-tenant Kubernetes clusters with zero-trust networking, policy-as-code (OPA/Gatekeeper), and access controls.
Develop operators, controllers, and automation tools to streamline infrastructure provisioning and compliance in air-gapped environments.
Build and maintain observability frameworks using Grafana, Prometheus, Loki, Tempo, and OpenTelemetry for system reliability and performance monitoring.
Collaborate with security teams to implement supply chain security, container scanning, and runtime protection across cloud-native stacks.
Develop MLOps platforms (e.g., Kubeflow) to enable AI researchers to deploy, monitor, and scale ML models in production.
Create data and telemetry pipelines for debugging, auditing, and future-proofing distributed systems.
Technical Skills Required
Kubernetes Cloud-Native Automation (GitOps, CI/CD) MLOps Platforms
Benefits & Perks
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Nice to Have
Experience with reinforcement learning or generative AI deployment challenges
Familiarity with defence industry technical constraints and ethical considerations
Knowledge of service mesh architectures (Istio/Linkerd)

Job Description


Who We Are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The Role

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward.

The day-to-day

  • As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
  • You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
  • You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
  • You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
  • You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills

  • Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling
  • Experience with GitOps workflows and CI/CD automation
  • Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
  • Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
  • Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
  • Networking: Expert understanding of networking concepts, protocols and security
  • MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
  • Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
  • System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
  • Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

  • Have a high level of personal integrity, reliability, and attention to detail
  • Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
  • Have experience running cloud-native workloads in on-premises or air-gapped environments
  • Are willing to be based to Munich, Berlin London or Paris and work in a hybrid environment.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields

  • Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
  • The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
  • Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
  • In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
  • We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

  • A focus on outcomes, not time-tracking
  • Competitive compensation and VSOP options
  • Relocation support
  • Social and education allowances
  • Regular company events and all-hands to bring together employees as one team across Europe
  • A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing's Candidate Privacy and Confidentiality Regime can be found here.

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