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DevOps Engineer - Kubernetes, Linux & Hybrid Infrastructure (On-Prem & Cloud) (m/f/d)

SCRIBOS GmbH
Heidelberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing

Qualifikationen

Informatik
Kubernetes
Ansible
Datenanalyse
Englisch
AWS
Virtualisierung
Scripting
Linux
Python
Shell Scripting
Deutsch

Vollständige Stellenbeschreibung

Making every product unique

SCRIBOS empowers brand owners all over the world to win the battle against counterfeits by setting the standard in brand protection solutions. Since the discovery in 1998 that adhesive tapes can be used as data storage media and the company’s founding in 2001, SCRIBOS has become a leading force in the brand protection field. SCRIBOS specializes in the development and manufacturing of innovative and secure product markings that can be combined with cutting-edge digital tools. These effective brand protection solutions give brand owners all over the world the means to combat counterfeiting, grey market trading and unauthorized overproduction. On top of this, they open avenues for consumer interaction, track & trace and market data analysis. SCRIBOS has over 20 years of experience in the brand protection field and has worked with over 500 leading brands around the world. As a 100% subsidiary of the KURZ Group, the company also benefits from the extensive experience and global presence of its parent company in the international market of security applications.

For our IT team we are looking for you as a

DevOps Engineer - Kubernetes, Linux & Hybrid Infrastructure (On-Prem & Cloud) (m/f/d)

Tasks

Operate, maintain, and scale our Linux-based on-premise infrastructure
Work partly on-site as part of a hybrid work setup, maintaining and supporting on-prem systems
Manage and expand our Kubernetes-based cloud environments in Europe and China
Collaborate with our development team to support services, deployments, and platform reliability
Drive automation initiatives within the DevOps environment
Develop and maintain scripts and tools for automation and data analysis
Tech Stack: Linux, Kubernetes, Rancher, RKE2, Proxmox, Ceph, Python, Shell, Ansible

Your profile:

Degree in Computer Science, a related field, or equivalent hands-on experience
Strong Linux administration and troubleshooting skills
Solid experience operating self-managed Kubernetes clusters (ideally Rancher / RKE2)
Strong scripting and programming skills for automation (Shell, Python, Ansible)
Experience with infrastructure and deployment automation
Experience with virtualization and distributed storage
Experience with cloud platforms such as AWS or Alibaba Cloud
Hands-on, problem-solving mindset with a strong sense of ownership
Fluent in English (team language)
German language skills a plus

Start your exciting future with us!

Our employees are our greatest asset. We want to support you in unfolding your strengths and developing your career. SCRIBOS offers you a modern working environment, individual training opportunities and a secure job.

In addition, we offer:

A vibrant, innovative company with customers all around the world
Work independently in a pleasant, motivating and collegial working environment
A multinational team with colleagues from all over the whole globe
Flat hierarchies, open offices, discussions on eye level and freedom to act
Mobile working from anywhere in Germany
As a KURZ owned company profit from a large range of trainings and education
Business Bike Leasing
Discounted membership in a near-by fitness studio
In addition to a small self-service canteen, we offer good coffee, water, tea and fresh fruit

Let's shape the world of tomorrow together.
We look forward to receiving your application!

Please use the following link: Online-Bewerbungsformular.

SCRIBOS GmbH

Personalabteilung

Sickingenstraße 65
69126 Heidelberg

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Jetzt bewerben

Erweiterte Suche

python Jobs in heidelberg

DevOps Engineer - Kubernetes, Linux & Hybrid Infrastructure (On-Prem & Cloud) (m/f/d)

Praktikum (m/w/d) - KI-gestützte Multibody Dynamic Simulation

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Cloud Engineer Softwareentwicklung (m/w/d)

Praktikum Data Analytics (m/w/d)

Azure Data Factory & Spark Data Engineer (w|m|d)

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