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- Tasks: Design and manage cutting-edge AI infrastructure using OpenStack and Kubernetes.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, performance bonus, and opportunities for professional growth.
- Other info: Fast-paced environment with a strong focus on collaboration and accountability.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience with OpenStack, Kubernetes, and automation tools required.
The predicted salary is between 130000 - 130000 £ per year.
Responsibilities
- Own the design, deployment, and day‑to‑day operation of OpenStack and Kubernetes clusters optimised for GPU workloads.
- Build and maintain infrastructure automation using Infrastructure-as-Code (IaC) and GitOps practices.
- Enable reliable GPU workload scheduling through Kubernetes‑native tooling and NVIDIA integrations.
- Ensure high availability and resilience through effective monitoring, logging, and incident response.
- Implement strong security controls, including RBAC and network policies, to ensure tenant isolation across cloud layers.
- Collaborate with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs.
Skills / Must have
- OpenStack: Significant hands‑on experience operating OpenStack in production environments.
- Kubernetes: Strong experience running production‑grade Kubernetes clusters, ideally on bare‑metal or private cloud setups.
- Solid grounding in Linux, networking, and storage with a practical approach to troubleshooting.
- Automation: Experience with infrastructure automation, CI/CD, and Git‑based workflows.
- Mindset: Ability to thrive in a fast‑moving environment with a strong sense of accountability for outcomes.
Benefits
- 10% Performance related bonus
- Salary: £130,000 GBP
Senior Infrastructure Engineer - AI Infrastructure in London employer: Hamilton Barnes Associates Limited
Contact Detail:
Hamilton Barnes Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Infrastructure Engineer - AI Infrastructure in London
✨Tip Number 1
Network like a pro! Attend industry meetups or online webinars related to AI and infrastructure. You never know who might be looking for someone with your skills, and a friendly chat can open doors.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with OpenStack and Kubernetes. This gives potential employers a tangible sense 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 GPU workloads and IaC practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 Infrastructure Engineer - AI Infrastructure in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with OpenStack and Kubernetes. We want to see how you've tackled GPU workloads and any automation you've implemented. Customising your CV to match the job description will help us see you as a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI infrastructure and how your skills align with our needs. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've solved complex issues in production environments. We love candidates who can demonstrate their troubleshooting prowess, especially in Linux, networking, and storage.
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’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Hamilton Barnes Associates Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in OpenStack and Kubernetes, especially how they relate to GPU workloads. Brush up on your hands-on experience and be ready to discuss specific challenges you've faced and how you overcame them.
✨Showcase Your Automation Skills
Be prepared to talk about your experience with Infrastructure-as-Code (IaC) and GitOps practices. Have examples ready that demonstrate how you've implemented automation in previous roles, as this will show your ability to streamline processes.
✨Emphasise Collaboration
Since the role involves working closely with DevOps, AI, and Product teams, highlight your teamwork skills. Share examples of how you’ve successfully collaborated with different teams to align infrastructure capabilities with customer needs.
✨Demonstrate a Proactive Mindset
In a fast-paced environment, showing accountability is key. Prepare to discuss how you handle incidents, ensure high availability, and implement security controls. This will illustrate your proactive approach to maintaining robust infrastructure.