DevOps Engineer

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites.

We're currently seeking a DevOps Engineer to join our team, focused on maintaining and improving the Continuous Integration pipelines behind Mantis, our autonomous four-legged construction robot. You will work with senior engineers to keep our C++/Python builds fast and stable, manage our on-premise infrastructure, and build automation that keeps our robot software tested and ready to deploy. The role comes with direct mentorship and a clear path to grow into advanced platform engineering or robotics.

Responsibilities:

• Pipeline Maintenance & Monitoring: Triage GitLab CI failures; resolve environment and infrastructure bottlenecks, and partner with software engineers to untangle complex C++ dependency conflicts.
• Infrastructure Management: Provision, patch, and maintain on-premise GitLab Runners, Dockerized build systems, and assist with hardware-in-the-loop (HIL) test environments.
• Automation: Write targeted Python or Bash scripts to automate operational tasks and accelerate development, build, and CI/CD workflows.
• Documentation: Create clear runbooks for local development setups and build troubleshooting.

Expertise:

• Systems & Scripting: Proficient with Linux command-line utilities and automation scripting (Python or Bash).
• Version Control: Solid grasp of Git workflows, branching, and merge conflict resolution.
• Containerization: Hands-on experience writing Dockerfiles and managing container images, with a knack for optimizing complex builds.
• CI Fundamentals: Understanding of Continuous Integration principles and declarative pipelines.

Would be a plus if you have:

• Exposure to observability (Prometheus, Grafana) or basic Cloud/IaC (AWS, Terraform).
• Understanding of C++ compilation (CMake, linkers) or ARM-based edge devices (Raspberry Pi, NVIDIA Jetson) like those used on our robots.
• Basic networking knowledge (TCP/IP, DNS, SSH).
• Experience with MLOps practices or tooling (e.g., model versioning, training pipelines).

We offer:

• Chance to be a part of a large-scale project;
• Team driven by impactful cause;
• Hybrid format of work with the lab located in Park Royal;
• Private dental or full medical (dental treatments aren't covered) insurance;
• Flexible working schedule;
• 28 days of annual leave;
• 5 wellness days per year.