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- Tasks: Design and deliver high-performance GPU cloud environments for AI workloads.
- Company: Global technology company with a focus on innovation and collaboration.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and tackle complex challenges in AI and GPU technology.
- Qualifications: Experience in GPU compute, HPC, and AI/ML infrastructure is essential.
- Other info: Remote role with occasional travel; excellent career advancement potential.
The predicted salary is between 100000 - 150000 £ per year.
A global technology company is looking for a Solution Architect to design and deliver high-performance GPU cloud environments. You’ll work directly with customers, engineering, and infrastructure teams to ensure AI workloads run efficiently at scale.
Who This Role Is For
Hands-on architects with deep experience in GPU, HPC, or AI/ML infrastructure. You’re comfortable bridging technical teams and customer needs, solving complex scaling challenges, and owning architectural decisions in a remote contract environment.
Key Responsibilities
- Design GPU solutions, including cluster sizing, networking, and performance optimization.
- Provide guidance on compute, storage, networking, and deployment architectures.
- Identify performance or scaling bottlenecks and recommend improvements.
- Support customer onboarding, proofs of concept, and production deployments.
What They’re Looking For
- Strong experience with GPU compute, HPC, and AI/ML workloads.
- Solid understanding of networking (L2/L3, InfiniBand, RoCE) and storage systems.
- Hands-on experience deploying or supporting GPU clusters.
- Experience with Kubernetes and Terraform in production environments.
Interview Process:
- 15 Min Call with Talent
- 2x Technical Calls (60 min)
- Very occasional travel to customer sites will be required.
If you are interested in the role and would like to know more, please reach out with your latest CV and I will be in touch if relevant.
Solutions Architect employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GPU and AI/ML. Join relevant online communities or forums where you can share insights and learn from others. You never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for those technical calls! Brush up on your knowledge of GPU compute, HPC, and networking. Make sure you can confidently discuss your hands-on experience with Kubernetes and Terraform. We want you to shine during those interviews!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss specific challenges you've faced in previous roles, especially around scaling and performance optimisation. Use real examples to demonstrate how you’ve made a difference in past projects.
✨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. Let’s get you that Solutions Architect role!
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU, HPC, and AI/ML workloads. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Solutions Architect role. We love seeing your personality come through, so feel free to share your passion for technology and problem-solving.
Showcase Your Technical Skills: In your application, make sure to mention your hands-on experience with Kubernetes, Terraform, and any other relevant technologies. We’re looking for someone who can bridge technical teams and customer needs, so highlight those skills!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU, HPC, and AI/ML infrastructure. Brush up on your knowledge of networking and storage systems, as these will be crucial in the interview. Be ready to discuss specific projects where you've tackled scaling challenges or optimised performance.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've identified and resolved performance bottlenecks in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Familiarise Yourself with Their Tools
Since the role involves Kubernetes and Terraform, ensure you can speak confidently about your hands-on experience with these tools. If possible, set up a small project to demonstrate your skills, as practical knowledge can really set you apart from other candidates.
✨Engage with the Interviewers
Don’t just wait for questions; engage with the interviewers by asking insightful questions about their current projects or challenges. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.