At a Glance
- Tasks: Join a startup-like team to shape the future of commerce with AI-driven projects.
- Company: Shopware, a leading ecommerce platform with an innovative culture.
- Benefits: Flexible working hours, remote options, and attractive perks.
- Other info: Dynamic environment with excellent growth opportunities and supportive onboarding.
- Why this job: Be part of a strategic moonshot and drive impactful AI experiments.
- Qualifications: Desire to learn, self-starter attitude, and familiarity with modern AI tools.
The predicted salary is between 36000 - 60000 £ per year.
Shopware is a leading ecommerce system that enables companies worldwide to scale quickly and efficiently in digital commerce. In this role, you will be part of the Agentic Commerce Lab, a startup-like team within our scale-up, dedicated to exploring how agentic systems will shape commerce by 2030. We build new products, run fast experiments, and prove what is possible. Join us on the zero-to-one journey and shape the future of commerce as part of a strategic moonshot at Shopware. This is not a "wait for requirements" kind of role. You operate as an entrepreneur inside Shopware, acting like an owner. You will drive ideas from inception to production. This position can be filled on-site, hybrid, or full-remote within Germany or specific European countries where we are registered. Your work location will be agreed upon in advance and forms the basis of your employment contract.
Build what is next: You live in our customers' relative future. Push the edge of what is possible with the latest in AI, often without documentation or playbooks.
End-to-end ownership: Responsibility for your bets from idea to production.
Ship fast: You can just ship things, both because you have the permission to and because you are comfortable iterating in public.
Enable developer velocity: Make it trivial for engineers to ship new AI features without infrastructure becoming a bottleneck.
Monitor the emerging stack: Track new infrastructure patterns for AI workloads and adopt what makes sense for us.
Build infrastructure for unknowns: Create systems flexible enough to support AI experiments we haven't imagined yet.
Own reliability and cost: Balance system uptime with infrastructure spend as usage scales unpredictably.
This is what you will bring to the table:
- None of these is a hard requirement. Most important is a desire to continuously learn and live on the bleeding edge of AI developments. At the frontier, the only constant is change, and we are looking for folks who want to thrive here.
- Bias to action: You prefer prototypes over decks, and experiments over endless discussions.
- Self-starter DNA: You thrive in ambiguity and love figuring things out without a detailed map.
- AI native: You default to 10x yourself with AI. You stay at the bleeding edge of emerging model capabilities and are excited about sharing what you've learned with others.
- Vibe-code fluency: Hands-on experience with modern AI tools (Claude Code, Cursor, Replit, v0, Lovable, etc.) and comfortable going from concept to clickable demo in a day.
- Product mindset: You care about outcomes, not just outputs, and design with merchants, shoppers, and developers in mind.
- Collaborative spirit: Open to learning from and co-building with peers inside and outside Shopware.
- Full-stack infrastructure: Comfortable with IaC, Kubernetes, serverless, databases, networking, pipelines, observability; whatever the team needs, you figure it out.
- Pragmatic perfectionism: You know when "good enough" ships and when reliability requires extra investment.
- Cloud cost obsession: You treat cloud spend like your own money and find creative ways to optimize without sacrificing capability.
- AI workload experience: Understanding of vector databases, model serving, inference optimization, and GPU provisioning.
This is what we offer you:
- Be part of a strategic moonshot at Shopware and shape what's next in commerce.
- Access to dedicated AI budget, tools, and the freedom to move at startup speed.
- Company Culture: Open culture with flat hierarchies, where individual initiative is encouraged.
- Employment Contracts: Permanent positions that offer long-term security.
- Flexibility: Flexible working hours and options for mobile work and full-remote contracts.
- Equipment: Freedom to choose your preferred work hardware.
- Onboarding: Well-structured onboarding with support from a personal "buddy."
- Work Environment: An inspiring environment with dedicated colleagues and a dynamic community.
- Development Opportunities: Diverse opportunities for personal growth and development.
- Additional Benefits: Attractive perks such as company pension plans, health programs, and regular team events.... and much more.
You can get a detailed insight on our career page. Protecting your personal data is a top priority for us. You can find our applicant information here.
AI-Native Cloud Infrastructure Generalist employer: shopware AG
Contact Detail:
shopware AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Native Cloud Infrastructure Generalist
✨Tip Number 1
Get to know the company inside out! Research Shopware's culture, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by thinking about how your skills align with the role. Be ready to share examples of your past experiences, especially those that showcase your entrepreneurial spirit and ability to thrive in ambiguity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Shopware team and ready to take that leap into the future of commerce.
We think you need these skills to ace AI-Native Cloud Infrastructure Generalist
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you stay on the cutting edge of AI developments and how you can bring that energy to our team.
Be a Self-Starter: Highlight your ability to thrive in ambiguity. Share examples of how you've taken initiative in past projects, especially when there wasn't a clear path laid out. We love candidates who can figure things out on their own!
Focus on Outcomes: Make sure to emphasise your product mindset. We’re looking for someone who cares about the results of their work, not just the tasks completed. Show us how you've designed solutions with end-users in mind.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at shopware AG
✨Understand the Company Culture
Before your interview, dive into Shopware's culture and values. They emphasise an open culture with flat hierarchies, so be ready to discuss how you thrive in collaborative environments and how your self-starter attitude aligns with their entrepreneurial spirit.
✨Showcase Your AI Knowledge
Since this role is all about pushing the boundaries of AI, come prepared to discuss the latest AI tools and technologies you've worked with. Highlight your hands-on experience with modern AI tools and how you've used them to create prototypes or solve problems.
✨Demonstrate Your Problem-Solving Skills
Be ready to share examples of how you've tackled ambiguous challenges in the past. Shopware is looking for someone who thrives in uncertainty, so illustrate your ability to figure things out without a detailed map and your bias towards action.
✨Prepare for Technical Questions
Brush up on your knowledge of full-stack infrastructure, including IaC, Kubernetes, and cloud cost optimisation. Be prepared to discuss your understanding of AI workloads and how you balance system reliability with cost efficiency, as these are key aspects of the role.