At a Glance
- Tasks: Lead cloud solution implementations and bridge hardware with enterprise software.
- Company: Join Google Cloud, a leader in advanced computing solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on innovation.
- Why this job: Transform businesses with cutting-edge technology and make a real impact.
- Qualifications: Bachelor's degree in STEM and experience in AI/ML infrastructure.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Paris, France.
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 employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Integration Engineer, Enterprise Services, Google Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. 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 suggest 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, making you stand out from the crowd.
✨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
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!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python, Bash, and any AI/ML frameworks you've worked with. We love seeing practical examples of your work, so include projects or achievements that demonstrate your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our team. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website: Remember to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can't wait to hear from you!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially around AI/ML infrastructure and Python. Brush up on your knowledge of Kubernetes, GKE, and any relevant frameworks like PyTorch or JAX. Being able to discuss these topics confidently will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Project Management Skills
Since this role involves project management, prepare examples from your past experiences where you successfully managed technical solutions. Highlight how you handled challenges, coordinated with teams, and ensured successful delivery. This will demonstrate your ability to manage complex projects and work collaboratively with various stakeholders.
✨Prepare for Customer-Facing Scenarios
As an Integration Engineer, you’ll be working closely with clients. Think of scenarios where you’ve had to engage with customers, understand their needs, and deliver tailored solutions. Be ready to discuss how you’ve built trust and rapport with clients, as this is crucial for the role.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the team, projects, and Google Cloud’s future direction. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.