описание
Our AI analyses real production lines through cameras and edge devices in customer factories. We’re looking for a DevOps Engineer who understands how systems work underneath, from the OS and network up to the cloud, and who will own the software on our growing device fleet and the infrastructure that runs it.
задачи
- Own the software on our edge fleet once a device is online: components, configuration, and OS, kernel and GPU driver updates.
- Build the release path to devices: CI/CD, canary, staged rollouts and rollback over unreliable factory networks.
- Run fleet monitoring and alerting that catches failing devices and cameras before customers notice; decide whether a fault is software or hardware.
- Debug hard problems across the stack (processes, memory, disk, network, GPU) and fix root causes, not symptoms.
- Own our cloud infrastructure in Terraform, including the central systems we use to manage the edge fleet (AWS).
- Work closely with our Installations team, who set up devices and networks on site.
требования
- 8-10 years in platform, infrastructure, SRE or systems roles.
- Strong OS fundamentals: processes, memory, file systems, boot, services.
- You can debug a Linux machine from the shell.
- Solid networking: TCP/IP, DNS, routing, VPN, firewalls.
- Experienced with automation and infrastructure as code (Terraform a must, Ansible or similar) and CI/CD.
- Comfortable with containers and AWS.
- Methodical and curious: you want to know why something broke, not just make it work again.
- Будет плюсом: Have run a fleet of remote, on-prem or edge machines (IoT, retail, telecom); AWS IoT Greengrass or similar device management; NVIDIA GPUs or Jetson: drivers, CUDA; Unattended installs or OS images (PXE, cloud-init, ...); Kubernetes in production; Video, camera or ML inference workloads
условия
- Employee Share Options Program for all permanent employees*
- An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
- Be on the forefront in defining what artificial intelligence means in manufacturing
- Gain hands-on experience in working in an AI-first software company
- Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
- Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
- Network with professionals and leaders in the field, opening doors to potential future career opportunities
- We have a very flat hierarchy, open 360° feedback, and flexible working hours
- Ethics⚖: We are committed to developing ethical AI software
