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Salary
$76k – $152k per year (Estimated)
Location
In office (Berlin)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Headquartered in Berlin, Germany (with additional presence across Ukraine, the United Kingdom, and Sweden), STARK Defence is a defense technology enterprise specializing in autonomous unmanned systems and military software engineering. Founded in 2024 in response to modern operational demands, the firm develops AI-enabled, software-defined loitering munitions, strike drones, and modular unmanned aerial vehicles (UAVs) engineered for high-threat, electronic warfare environments.

About Us

STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.

We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.

Your mission

As part of the Infra & DevSecOps team you will be the technical bridge between software, firmware, and infrastructure, ensuring that our autonomous stack compiles, deploys, and runs efficiently and securely across edge devices, microcontrollers, and cloud-connected systems.

Your work will directly impact the reliability and scalability of our embedded autonomy infrastructure deployed across air, land, and sea systems.

Responsibilities

We are looking for candidates with experience in some or all of the following areas:

Infrastructure

  • Build and maintain secure links between on-prem infrastructure and GCP.

  • Provision and manage infrastructure using IaC.

  • Integrate on-prem identity providers with GCP IAM and implement Zero Trust principles.

  • Orchestrate the transition of cloud workloads to on-prem infrastructure.

  • Establish unified visibility across the hybrid stack.

  • Manage egress costs and minimise latency between the data centre and cloud regions.

CI/CD & Automation

  • Design and maintain CI/CD pipelines in GitLab for embedded and cross-compiled builds.

  • Automate build, test, and deploy workflows across GCP (Google Cloud Platform) and on-premise edge devices.

  • Apply DevSecOps / EdgeOps principles for secure, traceable software delivery.

  • Manage containerization and artifacts for multi-arch builds (Docker & other OCI containers).

  • Develop and maintain build and deployment scripts.

Hardware Integration

  • Collaborate with firmware and electronics teams to integrate and test microcontrollers, sensor boards, and autopilot hardware.

  • Support driver compilation and communication bridges between Linux and MCU-level systems (UART, CAN, SPI, I²C).

Build & Compilation

  • Build Linux-derivative operating systems and their dependencies for ARM64 targets.

  • Manage build automation for multi-architecture targets (AMD64/ARM64).

You’ll work at the frontier of embedded autonomy, where every build and deployment shapes the reliability of real-world unmanned systems.

If you enjoy bridging cloud and edge, automation and embedded systems, this role offers both the technical depth and mission relevance few positions can match.

Qualifications

  • Bachelor’s or Master’s degree in Computer Engineering, Robotics, or Embedded Systems.

  • 2-5 years of DevOps or EdgeOps experience

Soft Skills

  • You are solution-oriented and focus on "how we cando this" rather than listing reasons why we can't.

  • You have the ability to communicate complex technical ideas in a clear and respectful manner to other team members.

  • You have a team-first mentality: you prioritise the stability of the platform and the health of the team over being the 'smartest person in the room'.

Nice to have

  • Experience with GCP (Artifact Registry, Cloud Build, GCE instances)

  • Experience with Go

  • Knowledge of embedded hardware, e.g., NVIDIA Jetson, Raspberry Pi, or similar ARM64 SBCs; familiarity with MCU firmware integration

  • Awareness of ROS 2 (colcon, ament, uXRCE-DDS)

  • Experience with CMake

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