20 beste Stellen als software engineer devops in berlin, be – aktuell auf Personalsuche

DevOps Engineer
SKD SE —Berlin
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1Komma5° GmbH —Berlin
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MOTOR Ai —Berlin
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Aegiron Infrastructure Solutions UG —Berlin
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Senior Software Engineer (m/f/d)
Flix —Berlin
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Deltia —Berlin
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Sales Engineer with German
Xopero Software —Berlin-Friedrichshain
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traide-ai —Berlin
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Menlo79 GmbH —Berlin
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Principal Full Stack Developer (TypeScript)
Cosuno —Berlin
- 100.000 € – 120.000 € pro Jahr
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Cloud Support Associate (German & English speaking)
AWS European Sovereign Cloud Development Center GmbH - M94 —Berlin
- Wochenendarbeit möglich
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Senior Full-Stack Engineer (m/f/d) - Station Management & Inventory
Flix SE —Berlin
- Azure
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Senior Technical Consultant (m/f/d)
Shopware —Berlin
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Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
flaschenpost SE —Berlin
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software engineer devops jobs near berlin, be

DevOps Engineer

SKD SE
Berlin

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

CI/CD
Software Engineering
DevOps
Git
Google Cloud Platform
Master
Bash
Docker
Debian
Bachelor
Ubuntu
Scripting
Linux
GitLab
Python
Raspberry Pi
Identitätsmanagement

Vollständige Stellenbeschreibung

Berlin

Full-time

Permanent employee

About Us

STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.

We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.

Your mission

As a vital member of our Infra & DevSecOps team, you aren't just managing servers - you are the architect of the technical bridge between software, firmware, and physical infrastructure. You will ensure our autonomous stack compiles, deploys, and operates flawlessly across edge devices, microcontrollers, and cloud systems.

Your work will directly impact the reliability and scalability of our embedded autonomy infrastructure deployed across air, land, and sea systems.

Responsibilities

Create and refine GitLab CI/CD pipelines tailored for cross-compiled and embedded builds.
Facilitate automated build-test-deploy processes across on-premises edge hardware and GCP.
Establish secure and traceable software delivery by applying DevSecOps principles to edge computing.
Oversee artifact lifecycles and multi-architecture containerisation strategies using OCI and Docker.
Develop and maintain build and deployment scripts.
Collaborate with firmware and electronics teams to integrate and test microcontrollers, sensor boards, and autopilot hardware.
Build and maintain secure links between on-premises infrastructure and GCP.
Integrate on-premises identity providers with GCP IAM and implement Zero Trust principles.
Orchestrate the transition of cloud workloads to on-premises infrastructure.
Manage egress costs and minimise latency between the data centre and cloud regions.

Soft skills

You are solution-oriented and focus on "how we can do this" rather than listing reasons why we can't.
You have the ability to communicate complex technical ideas in a clear and respectful manner to other team members.
You have a team-first mentality: you prioritise the stability of the platform and the health of the team over being the 'smartest person in the room'.

Qualifications

Degree in Software Engineering (Bachelor’s or Master’s) or equivalent professional background
2-5 years of experience in EdgeOps, DevSecOps, or DevOps
Proficiency with GitLab CI/CD and Docker
Strong understanding of DevSecOps, EdgeOps, and DevOps principles
Expertise in Git and Git Flow
Scripting skills in Python and Bash
Linux expertise (Debian, Ubuntu) and experience with ARM64 cross-compilation
Knowledge of GitLab Runners or comparable tools

Nice to have

Experience working with cloud platforms
Familiarity with GCP services such as GCE, Cloud Build, and Artifact Registry
Hands-on knowledge of embedded hardware like NVIDIA Jetson or Raspberry Pi, and integration with MCU firmware

About us

SECURITY CLEARANCE
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

EQUAL OPPORTUNITY
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.

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Erweiterte Suche

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Machine Learning Engineer (m/w/d) – MLOps & Software Engineering

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