A natural match if you have experience managing edge and on-premises infrastructure in manufacturing or AI domains.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Almetra via Ashby
DevOps Engineer - Edgy & System
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.
What you'll do
- 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.
You are
- 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.
Nice to have
- 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.
Why this role matters
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.
#LI-SP1 #LI-Hybrid
What we offer
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
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.
*Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Source: Almetra careers (Ashby)