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- Tasks: Lead cloud solution implementations and become a trusted advisor for top 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 collaboration with industry leaders.
- Why this job: Shape the future of large-scale computing while working with innovative technologies.
- Qualifications: Bachelor's degree in STEM and experience in AI/ML infrastructure and project management.
The predicted salary is between 80000 - 100000 £ per year.
Google welcomes people with disabilities.
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 6 years of experience in technical solution delivery and project management.
- 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow).
- Experience in delivering production-grade Python code.
- Experience using Bash.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Engineering or a related field.
- Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA.
- Experience in one or more of the following areas: DevOps, Security, SRE.
- Experience in one or more of the following areas: Data Center Infrastructure, Networking, Compute, Storage.
- Customer-facing migration experience, including service discovery, assessment, planning, execution, and operations.
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 in this high-impact group, 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.
As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.
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:
- Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
- Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices.
- Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel 30% of the time to customer sites and facilities.
Integration Engineer, 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 Engineer, Enterprise Services, Google Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to integration engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with your projects, especially those involving AI/ML infrastructure. This gives potential employers a tangible look at what you can do.
✨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 Integration Engineer, Enterprise Services, Google Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Integration Engineer role. Highlight your experience with AI/ML infrastructure and any relevant project management 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 working with Google Cloud and how your skills can help us deliver top-notch solutions. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in Python, Bash, and any AI/ML frameworks you've worked with. We love seeing concrete examples of your work, so feel free to include links to projects or code samples.
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, we love seeing applications come directly from our site!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around AI/ML infrastructure and Python coding. Be ready to discuss your experience with tools like Kubernetes and any relevant frameworks like PyTorch or JAX. The more confident you are in your knowledge, the better you'll come across!
✨Showcase Your Project Management Skills
Since this role involves a lot of project management, prepare examples from your past experiences where you successfully managed technical solutions. Highlight how you handled challenges and ensured successful implementations. This will demonstrate your ability to lead and deliver results.
✨Understand Google Cloud's Offerings
Familiarise yourself with Google Cloud's services and how they can benefit enterprises. Being able to discuss specific solutions and how they align with customer needs will show that you're not just technically savvy but also understand the business side of things.
✨Prepare for Customer-Facing Scenarios
Since you'll be working directly with clients, think about how you would approach customer interactions. Prepare to discuss how you've built relationships and provided value in previous roles. This will help you convey that you're not just a tech expert, but also a trusted advisor.