At a Glance
- Tasks: Design and operate cutting-edge OpenStack and Kubernetes clusters for GPU workloads.
- Company: Fast-growing international scale-up in high-performance GPU cloud computing.
- Benefits: Competitive salary, flexible working, 25 days holiday, and wellbeing perks.
- Other info: Collaborative culture with clear career progression and opportunities to shape the future.
- Why this job: Make a real impact on innovative AI and HPC platforms while enjoying deep technical autonomy.
- Qualifications: Expertise in OpenStack and Kubernetes, with a solid grounding in Linux and networking.
The predicted salary is between 70000 - 90000 € per year.
A fast-growing, international scale-up is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads.
As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems.
What You'll Be Doing
- Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads.
- Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability.
- Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations.
- Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response.
- Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation.
- Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs.
The Ideal Profile
- OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment.
- K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups.
- Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting.
- Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows.
- Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability.
Nice to Have
- Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC.
- Familiarity with advanced networking technologies.
- Contributions to open-source or cloud-native communities.
What's on Offer?
- Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications.
- Flexibility: Flexible working arrangements, including remote or hybrid options.
- Growth: Clear career progression and the chance to help shape the company's culture and future.
- Culture: A collaborative, transparent, and international culture built on trust.
- Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.
Senior AI Infrastructure Engineer in Newcastle upon Tyne employer: LinkedIn
Join a dynamic and innovative scale-up that is at the forefront of GPU cloud infrastructure, where you will have the autonomy to drive impactful projects in a collaborative and transparent environment. With flexible working arrangements and a strong focus on employee growth, this company offers a unique opportunity to shape your career while contributing to cutting-edge technology that powers AI and machine learning applications. Enjoy competitive benefits, including a generous holiday allowance and wellbeing initiatives, all while being part of an international team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Infrastructure Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving OpenStack and Kubernetes. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI infrastructure. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior AI Infrastructure Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with OpenStack and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience in production environments.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how you can contribute to our fast-growing team. We love seeing enthusiasm and a bit of personality!
Showcase Your Problem-Solving Skills:In your application, give examples of complex problems you've solved in previous roles. We’re looking for someone who thrives on challenges, so let us know how you’ve tackled tough situations in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you brush up on your OpenStack and Kubernetes knowledge. Be ready to discuss your hands-on experience and any challenges you've faced while operating these technologies in production environments. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in previous roles. Think about scenarios where you had to optimise performance or ensure resilience in high-demand situations. This will demonstrate your ability to thrive in a fast-moving environment.
✨Highlight Your Automation Experience
Since automation is key for this role, be ready to discuss your experience with infrastructure-as-code and GitOps practices. Share specific projects where you've implemented CI/CD workflows and how they improved efficiency and scalability.
✨Emphasise Collaboration
This position requires cross-team collaboration, so think of examples where you've worked closely with DevOps, AI, or Product teams. Highlight how you aligned infrastructure capabilities with customer needs and contributed to a collaborative culture.
