Job
- Level
- Experienced
- Location
- Mannheim, Frankfurt, Leipzig
- Working Model
- Onsite
- Job Field
- IT, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will optimize modern DevOps platforms, develop AI-supported tools for automation and monitoring, and work with technologies like AWS, Kubernetes, and Jenkins to create efficient solutions.
Job Technologies
Your role in the team
- Whether it's a cloud platform, CI/CD pipeline, container orchestration, or observability solution – you take responsibility for modern DevOps and AI-related system landscapes.
- You design and optimize highly available platforms based on AWS, Kubernetes, Docker, and modern automation approaches.
- You bring AI into the DevOps everyday workflow: from AI-assisted error analysis to intelligent automation and the optimization of operations, monitoring, and delivery processes.
- You work with technologies such as Jenkins, Kubernetes, Docker, Terraform, Ansible, Java, AWS, Grafana, and Elastic, and further develop them within the project context.
- Together with development, operations, and business units, you develop solutions that not only work but also create sustainable added value.
- You identify potential improvements in existing platforms and derive concrete measures for automation, cost optimization, observability, and service quality.
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Our expectations of you
Education
- You have a completed IT degree, a comparable qualification, or extensive practical experience in the DevOps, cloud, or platform environment.
Qualifications
- You have a good understanding of IT service management, incident, problem, and change processes, and you can confidently operate within customer-oriented operational models.
- You think analytically, work conscientiously, and bring a strong service orientation as well as a desire for continuous improvement.
- You are travel-ready and flexible to advise our clients on-site nationwide.
- You speak fluent German and English – great, then you'll feel right at home at Exxeta.
Experience
- You have experience in building and operating highly available web applications and cloud solutions.
- AWS, Kubernetes, Docker, and Jenkins are part of your daily project routine; ideally, you also have experience with Terraform, Ansible, or comparable Infrastructure-as-Code approaches.
- You have experience or a strong interest in deploying AI-powered tools and methods productively within the DevOps context — e.g., for analysis, automation, monitoring, incident support, or developer productivity.
- Experience with Elastic is a big plus. You don't need to be an established Elastic specialist, but you should have an interest in developing your skills in search, logging, monitoring, and observability topics.
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What we offer
- At Exxeta, we develop digital solutions that truly make a difference - in companies, markets, and minds.
- Over 1200 colleagues bring together technology, ideas, and diverse perspectives for this purpose.
- What drives us: curiosity, team spirit, and the ambition to make a real impact.
- We are a home for people who want to make a difference.
- Diversity and different perspectives enrich our team.
- Attitude, ideas, and enthusiasm for action – that's what matters to us!
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
EXXETA AG
At EXXETA, we pride ourselves on being an innovative technology and consulting company that specializes in the automotive, energy, and financial services industries. We offer our clients tailored solutions to help them achieve their goals. Whether you're looking to streamline your operations or reduce your carbon footprint, we have the expertise and experience to help you succeed. Contact us today to learn more about what we can do for you.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Consulting
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Engineering
3.1Career Growth
3.0Culture
3.2Workingconditions
4.4
DevOps AI Engineer
- Location
- Mannheim, Frankfurt, Leipzig
- Working Model
- Onsite
- Diversity
- Open for all genders
