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Helsing

AI software and autonomous defense systems

Site Reliability Engineer

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeBerlin, Germany

About the Job

Requirements

  • Experience scripting in Python, Go, Rust, or Bash/Shell for automation and tooling.
  • Experience with GitOps workflows and continuous integration and continuous delivery automation.
  • Deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures such as Istio or Linkerd.
  • Hands-on experience with the Cloud Native Computing Foundation ecosystem, including Helm, ArgoCD, Flux, and container runtime security tools such as Falco.
  • Expert knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry, including experience building custom dashboards, alerts, and service-level indicator/service-level objective frameworks.
  • Expert understanding of networking concepts, protocols, and security.
  • Experience with Kubeflow, MLflow, or similar MLOps platforms.
  • Proficiency with Terraform, Ansible, and Kubernetes manifest templating; experience with policy-as-code tools such as OPA/Gatekeeper.
  • Deep understanding of Linux/Unix system administration and highly available, distributed systems.
  • Comfort building data and telemetry pipelines for debugging and future-proofing solutions.
  • Experience running cloud-native workloads in on-premises or air-gapped environments.
  • Ability to work in a hybrid environment and be based in Munich, Berlin, London, or Paris.

Responsibilities

  • Design, implement, and manage on-premise Kubernetes infrastructure.
  • Design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable development teams to operate services at scale.
  • Create observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance.
  • 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.
  • Develop operators and controllers to automate infrastructure provisioning and compliance.
  • Build and maintain MLOps platforms that enable AI researchers to deploy, monitor, and scale machine learning models in production.
  • Collaborate with Security teams to implement supply chain security, container scanning, and runtime protection across the cloud-native stack.

About the Company

Helsing

AI software and autonomous defense systems

Helsing develops AI software and autonomous systems for democratic governments, covering air, land, sea, and sub-surface domains. Its software combines data from drones, radar, satellites, cameras and other sensors to create a real-time operational picture that helps commanders detect threats and move quickly, while keeping key decisions under human control. Its product lineup includes AI-enabled strike drones (HF-1 / HX-2) for contested environments and underwater surveillance systems (SG-1 Fathom) for critical infrastructure. Helsing collaborates with European armed forces and partners such as Saab, Airbus and Kongsberg, and has supported Ukraine since 2022. The company has raised large rounds of funding, with a focus on expanding AI platforms and autonomous systems for partner nations. Its goal is to provide robust, field-ready AI-powered platforms that enable faster, safer decision-making and action in defense while maintaining governance over critical choices.

Company size
501-1,000
Company stage
Series E
Total funding
$3.3B
Headquarters
Munich, Germany
Founded
2021

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