At a Glance
- Tasks: Design and oversee large-scale accelerated compute clusters for enterprise clients.
- Company: Join Google Cloud, a leader in digital transformation and cutting-edge technology.
- Benefits: Competitive salary, flexible working locations, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to influence next-gen tech.
- Why this job: Shape the future of computing while working with top-tier global clients.
- Qualifications: 5 years in technical architecture and experience with AI/ML infrastructure.
The predicted salary is between 80000 - 100000 £ per year.
Google welcomes people with disabilities.
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- 5 years of experience in technical architecture, systems engineering, or infrastructure delivery for enterprise clients.
- 5 years of experience in technical solution delivery and project management.
- 5 years of experience in customer management and stakeholder engagement.
- 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow).
Preferred qualifications:
- MBA or advanced degree in Computer Science, Engineering, or a related field.
- Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations.
- Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or Open XLA.
- Experience in one or more of the following areas: data center infrastructure, networking, compute, storage.
- Experience in one or more of the following areas: DevOps, Security, SRE.
About the job:
The Google Enterprise Services team leads the deployment of the world’s most advanced accelerated computing systems. We help global enterprises architect and implement massive-scale infrastructure across on-premise, hybrid and cloud environments.
As an Integration Architect, you will bridge the gap between specialized hardware and enterprise software, shaping the future of large-scale distributed computing for the world’s largest organizations. In this role, you will lead the technical delivery of confidential, large-scale compute projects for strategic customers. You will serve as the primary technical liaison between global clients, internal engineering teams, and internal operations. Your role involves designing complex on-prem and cloud-based environments, ensuring seamless integration of high-performance accelerators with enterprise-grade networking and storage to support the next generation of mission-critical, data-intensive workloads.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities:
- Design and oversee the end-to-end deployment of large-scale accelerated compute clusters, acting as the lead technical advisor for confidential, enterprise infrastructure initiatives.
- Work with customer technical leads, client executives to manage and deliver successful implementations of technical solutions for high-density computing environments.
- Partner with internal specialists, Product, and Engineering teams to package technical playbooks, best practices, and reference architectures for high-performance computing, influencing the roadmap for next-generation hardware and software integration.
- Interact with Sales and partners to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel approximately 30% of the time for client engagements.
Integration Architect, Enterprise Services, Google Cloud in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Integration Architect, Enterprise Services, Google Cloud in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML infrastructure or cloud solutions. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to integration architecture. Mock interviews with friends or mentors can help you articulate your experience and demonstrate your problem-solving skills effectively.
✨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, it shows you’re genuinely interested in joining our team at StudySmarter and contributing to exciting projects.
We think you need these skills to ace Integration Architect, Enterprise Services, Google Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Integration Architect role. Highlight your experience in technical architecture and customer management, and don’t forget to mention any relevant AI/ML infrastructure skills. We want to see how your background aligns with what we’re looking for!
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 experience makes you the perfect fit. Be sure to mention specific projects or achievements that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: In your application, make sure to showcase your technical skills clearly. Whether it’s your experience with Kubernetes or your work on large-scale compute projects, we want to see how you can bridge the gap between hardware and software. Don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to fill out all the necessary details in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of the role. Brush up on your knowledge of AI/ML infrastructure, Kubernetes, and cloud environments. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Project Management Skills
Prepare examples that highlight your experience in managing large-scale projects. Talk about how you’ve engaged with stakeholders and navigated challenges during implementation. This will demonstrate your ability to lead complex initiatives.
✨Understand Google Cloud's Offerings
Familiarise yourself with Google Cloud’s products and services. Knowing how they can be applied to enterprise solutions will show your genuine interest in the company and the role. Be prepared to discuss how you would leverage these tools in your work.
✨Prepare for Customer Engagement Scenarios
Think of scenarios where you had to manage customer expectations or resolve conflicts. Being able to articulate your approach to customer management will be crucial, as this role involves significant interaction with clients.