Senior Datacenter Engineer, Portfolio Strategy, System Engineering and Architecture

Location: London, UK

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
• 5 years of experience in mission critical facility design and construction environments.
• 5 years of experience in designing and optimizing data centers, with a focus on machine learning systems.
• Experience with Graphics Processing Unit/Tensor Processing Unit (GPU/TPU) architectures, AI system integration, and performance techniques.
• Experience with data center infrastructure, including power, networking, storage, and cooling systems.

Preferred qualifications:

• Master's degree in Engineering, Business or other relevant field or a professional engineering license or a Professional Engineering (PE) license.
• Experience in estimating, electrical design, operation, and commissioning of substations, switchgear, Automatic Transfer Panels/Automatic Transfer Switches (ATP/ATS), emergency power systems and their control systems, power monitoring, and electrical protection.
• Experience with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural).
• Knowledge of data center infrastructure, including power, networking, storage, and cooling systems.
• Familiarity with current and emerging trends in ML hardware and software, and their impact on data center design.

About the job:

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department — cutting‑edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state‑of‑the‑art, environmentally‑friendly facilities. You are a visionary who optimizes for efficiencies and never stops seeking improvements — even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior‑level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).

As a part of the Systems Engineering Architecture team, you will design the foundational blueprints for Google's future data center infrastructure. In this role, you will be responsible for defining and developing system‑level architectures for new data center concepts, designs, and maintaining the long‑term technical roadmap for data center evolution, emphasizing scalability, efficiency, and speed. You will drive innovation in power distribution, cooling solutions, and layouts to support increasing power densities and new technologies. You will lead the physical infrastructure integration of critical hardware programs, including Machine Learning platforms (TPUs/GPUs) and manage system interfaces ensuring seamless compatibility between various data center products and subsystems. You will collaborate across teams to translate product and service requirements into buildable, operable, and maintainable data center designs.

Responsibilities:

• Define data center system‑level, product architecture, research and development while helping to develop operations and maintenance procedures for systems/processes.
• Conduct engineering analysis and research designs and methods of data center equipment and facilities.
• Ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.).
• Be the regional technical anchor for designing the foundational blueprints of Google’s future data center infrastructure across EMEA and APAC.
• Join the Data Center Technical Strategy (DCTS) team to bridge the gap between silicon‑level requirements (TPUs/GPUs) and physical facility constraints.
• Move beyond traditional facility design toward a “Full‑Stack” optimization approach, ensuring Google’s global data center portfolio is architected specifically to manage the extreme power and cooling demands of next‑generation AI.