Working Student - DevOps Engineer iv)

Ingenious Technologies AG
München, Germany
14 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

München, Germany

Tech stack

Data analysis
Ubuntu (Operating System)
CentOS
Cloud Computing
Configuration Management
Computer Programming
Data Systems
Debian Linux
Linux
DevOps
Distributed Systems
Red Hat Enterprise Linux - RHEL
Release Management
Ansible
Software Systems
Systems Integration
Data Logging
Scripting (Bash/Python/Go/Ruby)
Gitlab
System-level Testing
Containerization
Kubernetes
Information Technology
Puppet
Industrial Software
Data Pipelines
Docker
Jenkins

Job description

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?, Support our engineering team in driving automation and reliability across our industrial data systems while gaining hands-on experience with real-world infrastructure and software integration challenges.

  • Shape the future: Implement DevOps practices for our internal tooling, which collects and manages data from numerous industrial machines
  • Take responsibility: Design and implement a release management process for internal libraries using GitLab
  • Reliable work: Automate deployment and maintenance tasks through Infrastructure as Code principles
  • Teamwork is dreamwork: Collaborate with development teams to optimize CI/CD pipelines and system-level testing
  • Expand your horizons: Contribute to innovation by introducing new deployment and operational strategies, including containerization and data analysis
  • Keep the overview: Implement monitoring and logging concepts to ensure optimal performance and reliability of our industrial software infrastructure, * Working part-time: The focus is on studies. That's why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
  • Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
  • You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

Requirements

Do you have experience in Ubuntu?, You are a motivated student passionate about automation, cloud technologies, and software infrastructure, with a desire to turn theory into practice.

  • Study Field: Currently enrolled in Computer Science, Electrical Engineering, or a similar technical program
  • Experience: Basic programming or scripting experience in at least one language; knowledge of Linux systems (e.g. RHEL, CentOS, Debian, Ubuntu)
  • Skills: Familiarity with DevOps tools such as GitLab, Jenkins, or configuration management (e.g. Ansible, Puppet); understanding of containerization (Docker, Kubernetes) and interest in distributed systems and data pipelines
  • Way of Working: Independent and structured, with strong communication and documentation skills
  • Personality: Analytical thinker, eager to learn and explore new technologies
  • Language Skills: Fluent English skills (written and spoken) and at least basic German skills

Please attach the following documents to your application:

  • CV in English
  • Certificate of enrollment at university
  • Latest grades transcript (not older than 6 months)
  • High school report

About the company

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.

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