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- Aufgaben: Join our team to develop and automate a cutting-edge Kubernetes-based data science platform.
- Arbeitgeber: We're a young, dynamic company with 70+ talented individuals in a growing group.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and a vibrant office with a water view.
- Warum dieser Job: Work on real-world AI solutions while collaborating with exciting international clients.
- Gewünschte Qualifikationen: Master's degree in computer science and 2+ years of experience with container-based products required.
- Andere Informationen: We offer 30 vacation days, e-learning support, and a fun workplace with great perks!
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Your tasks
As an AI Platform Engineer, you are experienced with Docker / Kubernetes and you enjoy developing distributed systems. As part of our infrastructure expert team, you will develop modern AI and data platform solutions to solve real-world problems:
- You will develop and automate a Kubernetes-based data science platform as part of an agile team.
- You will work on the full lifecycle from concept, development, testing, deployment to documentation.
- You take responsibility for the development of platform modules from conception to production deployment.
- You present your work in (mostly online) meetings with our customers and support them to use our platform effectively.
Your profile
- You enjoy working in a team developing modern AI solutions.
- You think in a solution-oriented way and approach problems in an analytical and structured way.
- Thanks to your motivation and self-discipline, you achieve high productivity, deliver good quality results in time, and motivate other team members.
- Through continuous self-criticism, you iteratively improve your own quality standards.
- You have a master’s degree in computer science or another quantitative field of study.
- You have 2+ years of job experience and have successfully brought container-based products into production.
- You already have experience with some parts of our tech stack:
- Python and Bash (or at least one other language).
- Kubernetes, Helm, Kustomize, ArgoCD.
- Kubeflow, MLflow.
- Ansible, CI/CD (Gitlab, Github).
- Cloud Computing (GCP, Azure).
- Writing maintainable code.
- Unit- and integration testing.
- Software packaging and containerization.
- Documentation.
- Linux server administration.
- Working in agile teams.
Why us?
- Young company in a growing group of companies consisting of 70+ bright minds.
- Flexible, family-friendly working hours and option to work from home.
- Short decision paths, the opportunity to get involved, take over responsibility and use new technologies.
- Spacious office at the Europahafen: workplace with water view!
- Company fitness program, BusinessBike and access to company boat.
- Coverage of costs for e-learning courses as desired.
- Regular exchange: we visit and organize internal and public (AI) events.
- Exciting, international clients from a wide range of industries.
- Fair, appropriate salary and employee participation program.
- 30 days of vacation and the possibility of part-time work.
- Top hardware, height-adjustable desks and multiple monitors at every workstation.
- Of course: organic fruit baskets, smoothie bar, ice cream flat rate, Thermomix, rice cooker, drinks (good coffee, mate, etc.).
- We support the compatibility of work, family and private life and are \’Certified Family Friendly\‘.
Other
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AI Platform Engineer (all genders) Arbeitgeber: prokube.ai GmbH
Kontaktperson:
prokube.ai GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Platform Engineer (all genders)
✨Tip Number 1
Familiarize yourself with our tech stack, especially Kubernetes, Python, and CI/CD tools like GitLab or GitHub. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness to contribute from day one.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've approached challenges in previous projects. Be ready to discuss specific instances where you developed or automated solutions, as this aligns perfectly with the responsibilities of the role.
✨Tip Number 3
Since you'll be working in an agile team, brush up on agile methodologies and be prepared to discuss your experiences in such environments. Highlighting your ability to collaborate effectively and adapt quickly will set you apart.
✨Tip Number 4
Prepare to present your work clearly and concisely, as communication with customers is key. Practice explaining complex technical concepts in simple terms, which will show your ability to bridge the gap between technology and user needs.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Platform Engineer (all genders)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience with Docker, Kubernetes, and any relevant programming languages like Python or Bash. Emphasize your previous roles in developing distributed systems and any container-based products you've brought into production.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI solutions and teamwork. Mention specific projects where you demonstrated your analytical and structured problem-solving skills, as well as your ability to motivate team members.
Showcase Relevant Projects: If you have worked on projects involving Kubernetes, CI/CD, or cloud computing, be sure to include these in your application. Describe your role in these projects and the impact they had on the organization.
Prepare for Interviews: Be ready to discuss your technical skills and experiences in detail. Prepare examples of how you've contributed to agile teams and how you approach software engineering tasks like unit testing and documentation.
Wie du dich auf ein Vorstellungsgespräch bei prokube.ai GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Docker, Kubernetes, and the tech stack mentioned in the job description. Highlight specific projects where you successfully deployed container-based products and how you approached challenges during development.
✨Demonstrate Team Collaboration
Since the role emphasizes working in an agile team, share examples of how you've collaborated with others in past projects. Discuss your approach to problem-solving and how you motivate team members to achieve high-quality results.
✨Prepare for Real-World Problem Solving
Expect questions that assess your analytical and structured thinking. Be ready to explain how you would tackle a specific problem using AI and data platform solutions, showcasing your solution-oriented mindset.
✨Emphasize Continuous Improvement
Talk about your commitment to self-criticism and iterative improvement. Share instances where you've identified areas for personal or team growth and the steps you took to enhance quality standards in your work.
