A

Almetra

Edge AI vision analytics for manufacturing

DevOps Engineer

Site Reliability EngineeringPosted on Nov 12
Full-timeBerlin, GermanyHybrid

About the Job

Requirements

  • The candidate must have 8–10 years of experience in platform, infrastructure, site reliability engineering, or systems roles.
  • The candidate must have strong operating-system fundamentals, including processes, memory, file systems, boot, and services, and be able to debug a Linux machine from the shell.
  • The candidate must have solid networking knowledge, including TCP/IP, DNS, routing, VPNs, and firewalls.
  • The candidate must have experience with automation, infrastructure as code (Terraform required; Ansible or similar), and CI/CD, and be comfortable with containers and AWS.

Responsibilities

  • Own the software on the edge fleet once devices are online, including components, configuration, and operating-system, kernel, and GPU-driver updates.
  • Build the release path to devices, including CI/CD, canary and staged rollouts, and rollback over unreliable factory networks.
  • Run fleet monitoring and alerting to detect failing devices and cameras before customers notice, and determine whether faults are software- or hardware-related.
  • Debug problems across processes, memory, disk, network, and GPU, and fix root causes.
  • Own the cloud infrastructure in Terraform, including the central AWS systems used to manage the edge fleet.
  • Work closely with the Installations team, which sets up devices and networks on site.

Desired Qualifications

  • Experience running a fleet of remote, on-premises, or edge machines, such as in IoT, retail, or telecommunications.
  • Experience with AWS IoT Greengrass or similar device-management tools.
  • Experience with NVIDIA GPUs or Jetson, including drivers and CUDA.
  • Experience with unattended installations or operating-system images, such as PXE or cloud-init.
  • Experience with Kubernetes in production.
  • Experience with video, camera, or machine-learning inference workloads.

About the Company

Almetra

Edge AI vision analytics for manufacturing

Almetra equips production lines with AI cameras to convert shop-floor video into real-time data, including cycle times, output, utilization, and micro-stoppages. Processing happens at the edge with privacy-by-design anonymisation, and the system links vision analytics with MES/PLC/ERP context to produce actionable insights rather than just dashboards. By combining line-level analytics with input from continuous-improvement engineers, it helps factories diagnose root causes of productivity losses and drive improvements. The goal is to scale the product and expand into the US, supported by funding such as the June 2026 Series A led by blisce/.

Company size
51-200
Company stage
Series A
Total funding
$22.4M
Headquarters
Berlin, Germany
Founded
2022

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