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- 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.
- Why this job: Make a real impact on a platform powering demanding AI and HPC applications.
- Qualifications: Expertise in OpenStack and Kubernetes, with a strong systems background.
- Other info: Collaborative culture with clear career progression and remote work options.
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 employer: Hamilton Barnes 🌳
Contact Detail:
Hamilton Barnes 🌳 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Infrastructure Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving OpenStack and Kubernetes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI infrastructure. Practice explaining your thought process and problem-solving approach, as this will demonstrate your expertise and confidence.
✨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 about their job search!
We think you need these skills to ace Senior AI Infrastructure Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Infrastructure Engineer role. Highlight your experience with OpenStack and Kubernetes, and don’t forget to showcase any relevant projects or achievements that demonstrate your expertise in high-performance GPU cloud computing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills align with the company’s mission. Be sure to mention your experience with automation and infrastructure-as-code, as these are key aspects of the job.
Showcase Your Problem-Solving Skills: In your application, give examples of complex problems you've solved in previous roles. This will show us that you have the deep technical autonomy we’re looking for and that you can thrive in a fast-moving environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Hamilton Barnes 🌳
✨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 this role involves driving automation, be ready to discuss your experience with infrastructure-as-code and GitOps practices. Share specific projects where you've implemented these workflows and how they improved scalability and efficiency.
✨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.