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.