AI Summary
Join a multinational team developing a drone early-warning system. Design, build, and maintain scalable infrastructure for AI-driven applications. Work with ML engineers to deploy and scale models in production.
Key Highlights
Design and build scalable infrastructure for AI-driven applications
Work with ML engineers to deploy and scale models
Maintain system reliability, performance, and security
Key Responsibilities
Design, build, and maintain scalable infrastructure for AI-driven applications
Own and optimize CI/CD pipelines
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
Technical Skills Required
Benefits & Perks
100% free workplace policy
Flexible working hours
30 days vacation
Health insurance package
Sports club membership
Nice to Have
Golang
C/C++
GNU toolchain
Yocto Project
Job Description
Benefits:
- Opportunity to use top-notch technology.
- Be part of a group of tech sassy engineers.
- Join the next unicorn in defense, that develops one of the first multinational drone early-warning systems.
- Multinational, pragmatic and hands-on team with a strong focus on innovation.
- 100% free workplace policy: Come to the office in Berlin or Munich or work from home anywhere within the European Union.
- Flexible working hours: There are some meetings but apart from this, work whenever is best for you.
- 30 days vacation.
- Health insurance package.
- Sports club membership.
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 drone detection devices.
- 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.
- (if you want) 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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- Due to to security regulations for this role, you have to hold citizenship of an EU Member State.
- You are legally registered in an EU country.
- Minimum of 4 years work experience within IT (e.g. Engineering).
- Minimum 2 years full-time work experience as a DevOps Engineer, Platform Engineer, SRE, or MLOps Engineer.
- Some work experience within sensor, IoT or hardware field.
- Broad Linux experience.
- Good knowledge of the embedded linux eco system.
- Experienced in bash scripting.
- Broad experience with Kubernetes, Docker, and Microservices.
- Expert knowledge of CI/CD, automation, and infrastructure as code.
- Fluent in English, any other spoken language is a plus.
- Happy to work in defense.
- Personality that thrives in a driven startup/scaleup environment.
- Motivated to fully work hands-on and get your hands dirty in the systems.
- Ideally worked with GNU toolchain and Yocto Project.
- Ideally some cloud experience.
- Ideally worked with Golang.
- Ideally worked with C/C++.
- Ideally you are interested in travel and stay 2-3 days per quarter to Berlin, Munich or Poland or Hungary.
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If you have any questions, feel free to reach out via email (nathalie@the-formula.de) or WhatsApp (+4915733914408).
We celebrate diversity.
That’s why we explicitly welcome all applications - regardless of gender, gender identity or expression, sexual orientation, age, ethnic or social background, religion or belief, physical abilities, family status, appearance, or any other characteristic that must not be a factor under applicable law.
We firmly believe that diverse perspectives, experiences, and life journeys enrich teams and lead to better decision-making.
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