At a Glance
- Tasks: Lead and optimise operations in cutting-edge data centre facilities.
- Company: Join a global tech giant redefining AI and infrastructure.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Be part of a team shaping the future of hyperscale computing.
- Why this job: Make a real impact on innovative projects in a dynamic environment.
- Qualifications: 9 years of experience in facility maintenance and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Minimum qualifications:
- Bachelor's degree in a technical field or equivalent practical experience.
- 9 years of experience working in mission critical facility maintenance and operations.
- Ability to work non-standard hours and differing work rotations/shifts.
- Ability to communicate in English fluently to support client relationship management in this region.
Preferred qualifications:
- Experience in initiating and executing strategic initiatives in a global environment.
- Experience working in data center environments, including building and operating infrastructure.
- Ability to perform operational assessment and risk analysis of third-party sites.
- Ability to forecast resource requirements in a data-driven way.
- Passion for operations and people management.
- Excellent problem-solving skills.
About the job:
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and support physical facilities conditions. Some duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components. You'll provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.
You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities:
- Drive efforts to test, validate, improve, and certify new processes and procedures for critical complex equipment operation for data center domain of expertise.
- Lead efforts to perform compliance activities for a data center and analyze compliance results for data centers globally.
- Ensure regional and global teams are complying with project/schedule guidelines and Google design standards.
- Drive efforts to monitor data center systems operations, control site activities to minimize risk, and to ensure effective response to any excursions.
- Drive efforts to ensure sites are following facility, maintenance, and standard programs globally while exhibiting strength in improvement to said policies and programs.
- Lead the development of strategies to keep operational costs to a minimum, improve efficiency, and reduce environmental impact at a site, along with driving site-level development of programs and initiatives.
Technical Operations Manager, Third Party Data Center Facilities (English) in London employer: Google
As a Technical Operations Manager at Google, you will be part of a dynamic team that is at the forefront of innovation in data center operations. Our work culture fosters collaboration and creativity, providing ample opportunities for professional growth and development in a supportive environment. With a commitment to sustainability and efficiency, you'll have the chance to lead strategic initiatives that not only enhance operational performance but also contribute to a greener future.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Operations Manager, Third Party Data Center Facilities (English) in London
✨Get Involved in Data Science Communities
Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Google.
✨Utilise University Career Services
Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Google who are on the lookout for fresh talent, so don’t miss out on those opportunities!
✨Show Off Your Projects
Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Google to see what you can achieve beyond your degree.
✨Be Active on LinkedIn
Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Google.
We think you need these skills to ace Technical Operations Manager, Third Party Data Center Facilities (English) in London
Some tips for your application 🫡
Show Off Your Technical Skills!:When applying for a data science internship like the one at Google, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!
Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.
Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!
Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!
How to prepare for a job interview at Google
✨Master the Tech Stack
As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.
✨Portfolio Power
Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.
✨Explain Your Thought Process
Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.
✨Show Your Curiosity
For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.