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# Senior Edge ML and DevOps Engineer IoT Remote European Union

- **Company:** The Formula
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, Bash Shell, C++ (Programming Language), Continuous Integration, Linux, DevOps, Distributed Systems, Reliability of Systems, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents, Terraform, Docker, Golang, Microservices
- **Published:** May 15, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=20ec5b411eb68e07

## About the Role

Do you have experience in Terraform?, * You are legally registered in an EU country.

 * You are willing to travel and stay 2-3 days per month to Berlin, Munich or Poland or Hungary.
 * Minimum of 8 years work experience within IT (e.g. Engineering).
 * Minimum 5 years full-time work experience as a DevOps engineer, Platform Engineer, SRE, or MLOps Engineer.
 * Worked for at least three years for one and the same employer.
 * Hands-on cloud expertise.
 * Experience with Kubernetes, Docker, and microservices.
 * Expert knowledge of CI/CD, automation, and infrastructure as code.
 * Familiarity with security best practices in cloud and distributed systems.
 * Experience supporting data-heavy and AI/ML workloads.
 * Broad Linux work experience.
 * Good knowledge of bash scripting.
 * Work experience within sensor, IoT or hardware field.
 * Fluent in English, any other spoken language is a plus.
 * Passion for IoT.
 * Motivation to work in defense.
 * Personality that thrives in a driven startup/scaleup environment.
 * Happy to fully work hands-on and get your hands dirty in the systems.
 * Ideally worked with Golang.
 * Ideally worked with C/C++.
 * Ideally some understanding of Apache license obligations, including attribution, notice files, and compliant redistribution of builds and containers.

## Description

You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. Partnering with your team, you:

 * design, build, and maintain scalable infrastructure for AI-driven applications and bring model inference onto IoT devices.
 * implement scalable, low-latency intelligence at the edge.
 * own and optimize CI/CD pipelines to enable fast and secure deployments.
 * ensure system reliability, performance, security, low-latency predictions and offline operation in sensitive, mission-critical environments.
 * work closely with ML engineers to deploy and scale models in production.
 * automate infrastructure using Infrastructure as Code (e.g., Terraform).
 * monitor systems, troubleshoot incidents, and continuously improve observability.
 * sometimes you support field operations by acquiring sensor data on site in Germany, Poland or Hungary and validating the technology through controlled field trials.


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