Auf einen Blick
- Aufgaben: Entwickle und betreibe unsere Kubernetes-Plattform auf einer leistungsstarken Infrastruktur.
- Unternehmen: Innovatives Unternehmen mit flachen Hierarchien und offener Kommunikation.
- Vorteile: Flexible Arbeitszeiten, Homeoffice, 30 Tage Urlaub und zahlreiche Weiterbildungsmöglichkeiten.
- Weitere Informationen: Dynamisches Umfeld mit großartigen Karrierechancen und einem starken Fokus auf Teamarbeit.
- Warum dieser Job: Gestalte die Zukunft der Plattformtechnik und arbeite an spannenden Projekten mit über 42 Millionen Nutzern.
- Qualifikationen: Erfahrung mit Kubernetes, Docker und CI/CD-Pipelines sowie eine Leidenschaft für Technologie.
Das prognostizierte Gehalt liegt zwischen 45000 - 65000 € pro Jahr.
Your tasks
Are you passionate about Platform Engineering and currently looking for a new challenge? Then join our team.
- You will develop and operate our Kubernetes platform on a bare-metal infrastructure with more than 85,000 CPU cores.
- You will automate and optimize platform, build, and deployment processes using modern CI/CD practices.
- You will maintain and enhance cloud-native platform services supporting more than 500 applications and over 42 million users.
- You will develop Kubernetes Operators and extend our platform with technologies such as service mesh, storage, and GPU solutions.
- You will work closely with experienced platform and infrastructure engineers and contribute to open-source technologies.
Your profile
Do you have a degree in Computer Science, Engineering, or a comparable qualification, and have already gained practical experience in platform, infrastructure, or cloud environments?
You do not need to master every technology mentioned below - solid foundational knowledge, a willingness to learn, and a passion for technology are what matter most.
We will help you grow the rest.
- You have experience with Kubernetes in on-premises environments as well as Docker, CI/CD pipelines, and Infrastructure-as-Code tools.
- You possess strong Linux skills and are comfortable working with technologies such as Bash, Python, and/or Go, as well as modern Git workflows.
- You are passionate about Platform Engineering, automation, observability, testing, and operating highly scalable distributed systems.
- You communicate confidently in English, enjoy working collaboratively in a team, and are committed to continuously developing your technical expertise.
- Our benefits in detail
Lived corporate culture : Flat hierarchies, a culture of respect and appreciation, signatories of the Diversity Charter, open communication, and no dress code.
Wide range of further training : Internal and external training opportunities, Linked In Learning, language courses, talent development programs, conferences, and mentoring.
TEC-Campus : Free choice between Linux, Mac, or Windows, slack days, conferences, lecture series, courses, open-source projects, community meetups, and user groups.
Active health care : Wellpass, health days, family & care support services, discounts at fitness centers, mental health first responder, fresh fruit and drinks for free.
Mobility : Subsidy for job bike leasing, job ticket, and relocation service if you live outside Germany.
Flexible working models : Home office options, flexible working hours, and 30 days of vacation with the option for additional unpaid leave.
Financial benefits : Corporate benefits, company pension scheme, capital-forming benefits, occupational disability insurance, and various partner discounts.
Events : Summer and winter parties, sports tournaments, and team events.
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Kubernetes Platform Engineer (f/m/d) Arbeitgeber: GMX, WEB.DE & mail.com
Als Data Engineer in unserem Portal BI Team in Karlsruhe profitierst Du von einer gelebten Unternehmenskultur mit flachen Hierarchien und einem wertschätzenden Umgang. Wir bieten vielfältige Weiterbildungsmöglichkeiten, flexible Arbeitszeiten sowie zahlreiche Gesundheits- und Mobilitätsangebote, die Dir helfen, Beruf und Privatleben optimal zu vereinbaren. In einem dynamischen Umfeld hast Du die Chance, Deine Fähigkeiten weiterzuentwickeln und aktiv zur datengetriebenen Entscheidungsfindung im Unternehmen beizutragen.
