Full-Time

Platform Engineer

Updated on 8/1/2026

Almetra

Almetra

51-200 employees

Edge AI-powered manufacturing analytics platform

Compensation Overview

€70k - €85k/yr

+ Employee share options

Berlin, Germany

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Kubernetes
MySQL
GitHub Actions
Computer Networking
Postgres
Infrastructure as Code (IaC)
AWS
Prometheus
Jenkins
Terraform
Linux/Unix

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Requirements
  • Eight to ten years of experience in DevOps, Site Reliability Engineering, or platform engineering roles.
  • Expertise in Amazon Web Services.
  • Proficiency with Terraform and infrastructure-as-code workflows.
  • Experience building and maintaining continuous integration and continuous delivery pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.
  • A solid understanding of Kubernetes deployment, networking, scaling, and troubleshooting.
  • Strong systems administration fundamentals, including Linux, networking, storage, and configuration management.
  • Comfort working with relational databases such as PostgreSQL and MySQL and time series databases such as TimescaleDB and Prometheus.
  • Ability to communicate clearly and work across engineering and data science teams.
Responsibilities
  • Design and maintain cloud infrastructure on Amazon Web Services using Terraform.
  • Own and improve continuous integration and continuous delivery pipelines for fast, safe deployments.
  • Manage and scale Kubernetes clusters.
  • Improve developer experience by making it easy for teams to ship and debug.
  • Implement monitoring, logging, and alerting for full observability.
  • Configure and optimize content delivery network infrastructure.
Desired Qualifications
  • Experience supporting machine learning infrastructure, including model deployment, graphics processing unit workloads, or training pipelines.
  • Background in content delivery network configuration using CloudFront, Fastly, or Cloudflare.
  • Familiarity with streaming data or video processing systems.
  • Interest in machine learning operations and bridging the gap between machine learning research and production.

Almetra provides manufacturing intelligence by mounting AI-powered cameras above production lines to give real-time visibility into shop-floor operations. Almetra Capture processes video locally at the edge to produce structured data (cycle times, output, utilization, micro-stoppages, movement) and unifies it with MES, PLC, and ERP data into a single operational view. An agentic AI layer flags bottlenecks, identifies root causes, and ranks improvement opportunities, with dedicated engineers turning insights into concrete action plans, all while anonymizing footage and complying with GDPR. The goal is to become the data and automation layer for next-generation industrial robotics and manufacturing analytics, expanding from Europe to the United States.

Company Size

51-200

Company Stage

Series A

Total Funding

$22.4M

Headquarters

Berlin, Germany

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • Bosch, ABB, and Siemens Energy references prove manufacturing ROI.
  • Series A capital funds U.S. expansion and faster product development.
  • Robotics partnerships position Almetra as factory intelligence infrastructure.

What critics are saying

  • Incumbent MES and automation vendors can bundle similar analytics into existing stacks.
  • Privacy-first cameras face works-council resistance and legal review delays.
  • Robotics ambitions increase reliability, security, and liability exposure after deployment failures.

What makes Almetra unique

  • Edge cameras convert shop-floor video into structured production data without IT overhaul.
  • Typed process graphs and process mining enable auditable root-cause analysis.
  • Privacy-preserving anonymization supports GDPR and works-council approval in Europe.

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Benefits

Stock Options

Flexible Work Hours

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

-9%

1 year growth

-7%

2 year growth

-7%