Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 25 minutes ago

Lead Customer Engineer, AI Infrastructure and Modernisation, UKI

Google3,228 open roles

Where
London, UK; Manchester, UK
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Customer Engineer, AI Infrastructure and Modernisation, UKIGoogle · London, UK; Manchester, UK

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 30 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: first seen 25 minutes ago

Google median: 30 days open

The posting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Manchester, UK.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  • Experience with AI accelerators (TPUs, GPUs) and the frameworks and serving stacks that run on them (e.g. PyTorch, JAX, vLLM, Ray).

Preferred qualifications:

  • Experience designing, sizing and operating training or inference environments at scale: accelerator selection, cluster topology, storage and networking for AI workloads, and capacity planning.
  • Experience running AI workloads on Kubernetes, including scheduling, autoscaling, node pool, compute class design, inference gateways and multi-host serving.
  • Experience using agentic tools (Gemini, Antigravity, ADK or equivalents) in day-to-day engineering.
  • Experience with security, identity and networking fundamentals on a hyperscaler: encryption, IAM, VPCs, load balancing, firewalls.
  • Experience building and maintaining customer relationships.
  • Knowledge of enterprise infrastructure modernisation, including VMware estates, backup and disaster recovery, and the realities of moving long-lived systems to cloud.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

The Google Cloud United Kingdom and Ireland (UKI) Platform Practice helps customers design, build and run what's next for their business on Google Cloud. We cover the full stack from infrastructure to applications, and working with everyone from developers and start-ups to large enterprises, educational institutions and government.

Customers who've chosen Google Cloud want to know which machines and accelerators fit their workloads, how to run them well, and how to keep them busy. Migration and modernisation remain a large part of the job; AI infrastructure is where the hard questions land. You will own the technical relationship with platform teams, engineers and CTOs: some days white-boarding multi-host inference on GKE, some days telling a customer, politely, that their plan won't work and showing one that will. Customer Engineering at Google expects fluency in agentic development: you build with Gemini, Antigravity and the Agent Development Kit (ADK). If you haven't done this yet, you will need to want to. Much of the job is storytelling: making the complicated clear to whoever decides.

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

  • Own the technical side of AI infrastructure opportunities in UKI: qualify the workload, design and size the architecture, prove it, and stay close through to ramp.
  • Help customers choose between, and get the most out of, TPUs and GPUs on GKE and Compute Engine, including scheduling, capacity and consumption options (reservations, Dynamic Workload Scheduler, Spot) and the serving stack on top.
  • Guide customers through assessments of their existing environments and produce a prioritised roadmap for modernisation and migration to Google Cloud.
  • Work directly with product management and engineering to get customer blockers removed, and bring field evidence into roadmap conversations.
  • Build and run demos, workshops and proofs-of-concept, using agentic tooling as a matter of course, and contribute what you build back as reusable assets for the UKI and SSA field.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Google's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Google's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Google's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.