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- Aufgaben: Join our team to develop and automate a Kubernetes-based data science platform.
- Arbeitgeber: We're a young, dynamic company with 70+ bright minds in a growing group.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and a spacious office with a water view.
- Warum dieser Job: Work on real-world AI solutions and take responsibility from concept to deployment.
- Gewünschte Qualifikationen: Bachelor's in computer science or related field; experience with Python, Docker, and Kubernetes.
- Andere Informationen: 30 days vacation, e-learning support, and fun perks like a smoothie bar and ice cream flat rate.
Your tasks
As a Junior AI Platform Engineer, you are keen on diving into Kubernetes and 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 a team.
- You will take part in the full lifecycle of concept, development, testing, deployment, and documentation.
- You can take responsibility for the development of features from conception to production deployment.
- You will join the (mostly online) meetings with our customers and present your results.
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 on time, and motivate other team members.
- Through continuous self-criticism, you iteratively improve your own quality standards.
- You have a bachelor’s degree in computer science or another quantitative field of study (or are currently enrolled when applying as a working student).
- You already have experience with some parts of our tech stack:
- Python and Bash (or at least one other language).
- Linux on the command line.
- Docker and Kubernetes.
- CI/CD (Gitlab, Github).
- Cloud Computing (GCP, Azure).
- Writing maintainable code.
- Unit- and integration testing.
- Software packaging and containerization.
- Documentation.
- 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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Junior AI Platform Engineer or Working Student (all genders) Arbeitgeber: prokube.ai GmbH
Kontaktperson:
prokube.ai GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Junior AI Platform Engineer or Working Student (all genders)
✨Tip Number 1
Familiarize yourself with Kubernetes and distributed systems before applying. Consider setting up a small project or contributing to an open-source project that uses these technologies. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Engage with the AI and data science community online. Join forums, attend webinars, or participate in hackathons related to AI solutions. Networking with professionals in the field can provide valuable insights and may even lead to referrals for job openings.
✨Tip Number 3
Prepare to showcase your problem-solving skills. Think of specific examples where you've tackled challenges in previous projects or coursework. Being able to articulate your analytical approach and how you overcame obstacles will impress our team.
✨Tip Number 4
Highlight your teamwork experience. Since this role involves collaboration, be ready to discuss how you've worked effectively in teams, especially in agile environments. Share instances where you motivated others or contributed to a positive team dynamic.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Junior AI Platform Engineer or Working Student (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Junior AI Platform Engineer position. Understand the key responsibilities and required skills, especially focusing on Kubernetes, Python, and CI/CD practices.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job requirements. Emphasize your knowledge of distributed systems, cloud computing, and any projects involving Docker and Kubernetes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI solutions and teamwork. Mention specific examples of how you've approached problem-solving in an analytical way and how you can contribute to the team.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes. This will demonstrate your hands-on experience and commitment to quality.
Wie du dich auf ein Vorstellungsgespräch bei prokube.ai GmbH vorbereitest
✨Show Your Passion for AI and Kubernetes
Make sure to express your enthusiasm for AI solutions and your eagerness to work with Kubernetes. Share any personal projects or experiences that demonstrate your interest in these areas, as it will show your motivation and fit for the role.
✨Demonstrate Problem-Solving Skills
Prepare to discuss specific examples where you approached a problem analytically and structured your solution. This could be from previous projects or coursework, highlighting your ability to think critically and deliver results.
✨Familiarize Yourself with the Tech Stack
Review the technologies mentioned in the job description, such as Python, Docker, and CI/CD tools. Be ready to discuss your experience with these tools and how you've used them in past projects or studies.
✨Prepare for Team Collaboration Questions
Since teamwork is emphasized, think of examples where you successfully collaborated with others. Be prepared to discuss how you motivate team members and contribute to a positive team dynamic, especially in an agile environment.
