AWS Solution Architect - Remote

AWS Solution Architect - Remote

Full-Time 90000 - 110000 £ / year (est.) No working from home possible
Hamilton Barnes

At a Glance

  • Tasks: Lead technical solutions for AI infrastructure and design innovative architectures.
  • Company: Specialist Managed Service Provider investing in cutting-edge AI technology.
  • Benefits: Competitive salary, bonus opportunities, and career progression in a growing field.
  • Other info: Join a dynamic team with significant growth plans and long-term potential.
  • Why this job: Shape the future of AI infrastructure and work with next-gen technologies.
  • Qualifications: Experience in VMware, cloud technologies, and a passion for AI/GPU environments.

The predicted salary is between 90000 - 110000 £ per year.

This is an exciting opportunity with a specialist Managed Service Provider that is making a major investment into the AI infrastructure and GPU compute space, a unique opportunity to join a business that owns and operates its own data centre environment and is now building high-density infrastructure solutions to support next-generation AI workloads.

We are looking for a Senior Pre-Sales/Solutions Architect to act as the technical lead across customer discovery, solution design, and infrastructure architecture - sitting between sales, engineering, and enterprise customers.

  • Strong VMware private cloud expertise
  • Strong understanding of compute, storage, networking data centre technologies
  • Exposure to AI/GPU/HPC environments is beneficial
  • Greenfield AI infrastructure build-out with significant growth plans
  • Opportunity to help shape a GPUaaS/AI platform from an early stage
  • Exposure to next-generation AI, HPC and GPU technologies
  • Opportunity to transition into AI/GPU infrastructure from a VMware/private cloud background
  • Strong long-term progression potential as the AI division scales

Please apply if this sounds like something you might be interested in, or at least worth a chat.

AWS Solution Architect - Remote employer: Hamilton Barnes

Join a forward-thinking Managed Service Provider that is at the forefront of AI infrastructure development in Central London. With a strong emphasis on employee growth and a collaborative work culture, this role offers the chance to shape innovative GPUaaS solutions while enjoying competitive compensation and a hybrid working model. Be part of a dynamic team that values your expertise and provides ample opportunities for professional advancement in a rapidly evolving field.

Hamilton Barnes

Contact Details:

Hamilton Barnes Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AWS Solution Architect - Remote

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in AI infrastructure or similar roles. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with VMware, AI, and GPU technologies. This will help you stand out during interviews and showcase your expertise.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for Solutions Architects. Role-play with a friend or use online resources to refine your answers and boost your confidence.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace AWS Solution Architect - Remote

AWS Solutions Architecture
VMware Private Cloud Expertise
Compute Technologies
Storage Technologies
Networking Data Centre Technologies
AI Infrastructure Knowledge
GPU Compute Experience

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AWS Solution Architect role. Highlight your expertise in VMware, AI infrastructure, and any relevant projects you've worked on. We want to see how you can fit into our exciting plans!

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 your background makes you the perfect fit for this role. Let us know what excites you about working with us at StudySmarter.

Showcase Your Technical Skills:In your application, don't shy away from showcasing your technical prowess. Mention specific technologies and methodologies you've used, especially those related to compute, storage, and networking. We love seeing candidates who are hands-on and ready to dive into the tech!

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. Plus, it shows us you’re keen to join the StudySmarter team!

How to prepare for a job interview at Hamilton Barnes

Know Your Tech Inside Out

Make sure you brush up on your VMware private cloud expertise and understand the latest in AI, GPU, and HPC technologies. Be ready to discuss how these technologies can be applied in real-world scenarios, as this will show your depth of knowledge and passion for the field.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex technical challenges in previous roles. Think about situations where you acted as a bridge between sales and engineering, and how you designed solutions that met customer needs while aligning with business goals.

Understand the Company’s Vision

Research the Managed Service Provider's current projects and future plans, especially regarding their investment in AI infrastructure. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their growth.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their approach to building the GPUaaS/AI platform and how they envision the future of AI infrastructure. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.