Google Cloud jobs: who is hiring, what they ask for and what they pay

# Google Cloud jobs and what Jobee counted on 13 November 2026

On 13 November 2026, Jobee counted 12,709 open Google Cloud jobs from the postings it had collected, and that is the market this page describes. Most of those jobs are remote, most want senior experience, and the clearest pay figures sit around the middle of six-figure USD roles.

Google Cloud jobs and what Jobee counted on 13 November 2026

This page is based on Jobee’s count of open Google Cloud jobs on 13 November 2026, across the postings it had collected by that date. It is not a survey and not the whole market. It is the set of visible postings Jobee could read and classify.

What stands out first is scale. Jobee counted 12,709 open Google Cloud jobs, with 2,430 employers hiring in that set. For someone searching for Google Cloud jobs now, that means there is breadth, but not a single dominant hiring pattern. The market is spread across a wide employer base, while a few names account for a large share of the openings.

The next thing to look at is freshness. 4,521 postings were posted in the last 30 days, which is 35.6% of the set. That tells you the market is active rather than stale, but it also means many roles were already open before that recent window. If you are searching now, the postings are not all equally new, so it is worth sorting by recency if you want the shortest path to a live process.

Who is hiring Google Cloud jobs

The largest employer in the set is Google itself, with 3,011 postings. That is far ahead of every other named employer in the data. After that come MongoDB with 627 postings, Databricks with 494, Salesforce with 189, Lifelancer with 166, NVIDIA with 136, Bright Vision Technologies with 125, Anthropic with 106, Grafana Labs with 106, Clickhouse with 102, Datadog with 101, and Syneos Health India Private Limited with 93.

That employer list says two useful things. First, Google Cloud skills are not only hired by cloud infrastructure companies. They are also wanted by software platforms, data-heavy firms, and product companies that build on cloud systems. Second, one employer can dominate the field while many others still hire at meaningful volume. If you are targeting Google Cloud jobs, it is not just about one company name on the advert.

The presence of firms like MongoDB, Databricks, Datadog, Grafana Labs, Clickhouse, NVIDIA, and Anthropic also hints at the shape of the work. These employers are likely to value cloud architecture, data systems, platform engineering, observability, and AI-adjacent infrastructure. That matters because the adverts are not asking for Google Cloud in isolation. They are asking for someone who can use it in a broader engineering stack.

Google Cloud jobs by location and remote pattern

Remote work is the default in this market. 7,025 of 12,709 postings are remote, which is 55.3%. Hybrid roles account for 1,177 postings, which is 9.3%. On-site roles account for 1,383 postings, which is 10.9%. Another 3,124 postings, or 24.6%, do not say where the work happens.

That means a candidate looking for Google Cloud jobs has a better chance of finding remote work than on-site work, and a substantial share of the market does not pin the location down at all. The practical effect is that you should not assume a role is local just because it does not mention remote in the first line. A quarter of the postings leave the location unclear, so check the detail carefully before you rule one in or out.

For job seekers, the split is encouraging if flexibility matters. More than half the market is remote, and remote appears to be the main mode rather than a fringe option. Hybrid and on-site roles still exist, but they are much smaller slices of the set. If you want remote Google Cloud jobs, this is a market where that search should pay off. If you want on-site work, the postings are there, but they are the smaller pool.

Country data gives the same picture of concentration. The United States has 5,757 postings, by far the largest national share in the set. After that come India with 857, the United Kingdom with 796, Canada with 553, Brazil with 331, Germany with 283, Poland with 272, Japan with 216, Singapore with 211, Ireland with 210, Mexico with 187, and Spain with 183.

For someone searching Google Cloud jobs in Germany, the country slice is smaller than the United States, the United Kingdom, India, or Canada, but it is still a visible market with 283 postings. That is enough to show that Google Cloud hiring is happening there, even if the biggest volume is elsewhere. It also matches the broader remote picture: many Google Cloud roles are not locked to one country, which helps explain why countries with smaller posting counts can still matter to the search.

Google Cloud jobs and the seniority employers want

The seniority mix is strongly tilted toward experienced candidates. Senior roles are the largest group with 5,850 postings, or 46.0%. Mid-level roles account for 1,973 postings, or 15.5%. Lead roles account for 1,562 postings, or 12.3%. Staff roles account for 601 postings, or 4.7%. Director roles account for 544 postings, or 4.3%. Junior roles account for 522 postings, or 4.1%. Principal roles account for 159 postings, or 1.3%. Intern roles account for 63 postings, or 0.5%. VP roles account for 40 postings, or 0.3%. C-level roles account for 24 postings, or 0.2%. Another 1,371 postings, or 10.8%, do not state seniority.

The clearest message here is that Google Cloud jobs are mostly not entry-level. Senior roles are by far the biggest bucket, and lead, staff, director, and principal roles add a second layer of advanced hiring. Junior and intern roles exist, but they are small slices of the market.

That should shape how you search and how you present yourself. If you are earlier in your career, you will need to spend more time filtering for the smaller junior and mid-level group. If you are experienced, the market is set up for you: the largest share of postings is explicitly senior. If an advert does not state seniority, treat that as an extra thing to clarify, because 10.8% of postings leave it blank.

The senior-heavy pattern also helps explain why the pay numbers are where they are. Roles that ask for Google Cloud often sit inside platform, infrastructure, or architecture teams, and those teams tend to value experience. That is usually where higher pay starts to appear.

Google Cloud jobs and the skills employers ask for

Google Cloud is rarely the only skill in the advert. The most common companion skill is AWS, which appears in 7,302 postings, or 57.5% of the set. Azure follows closely with 6,346 postings, or 49.9%. Python appears in 5,211 postings, or 41.0%. Kubernetes appears in 3,331 postings, or 26.2%. CI/CD appears in 3,025 postings, or 23.8%. SQL appears in 2,474 postings, or 19.5%. Docker appears in 2,148 postings, or 16.9%. Java appears in 2,060 postings, or 16.2%. Terraform appears in 1,878 postings, or 14.8%. LLM appears in 1,836 postings, or 14.4%. Linux appears in 1,570 postings, or 12.4%. Agile appears in 1,355 postings, or 10.7%.

The first lesson is that multicloud experience is valuable. AWS appears in more postings than Google Cloud itself as a named companion skill, and Azure is also extremely common. Many employers are not looking for pure Google Cloud specialists. They want people who can work across cloud platforms, or at least understand how Google Cloud fits alongside them.

The second lesson is that coding still matters. Python appears in 41.0% of the postings, which tells you these roles often go beyond admin or console work. Candidates who can automate, script, build services, or work with data pipelines will match more adverts than candidates who only know the cloud platform name.

The third lesson is that infrastructure tooling is central. Kubernetes, CI/CD, Docker, Terraform, and Linux all appear frequently. That points to deployment, orchestration, infrastructure as code, and production operations. In other words, employers want people who can build and run systems, not just talk about cloud strategy.

The fourth lesson is that AI is now part of the Google Cloud job shape. LLM appears in 1,836 postings, or 14.4%. That does not mean every role is an AI role, but it does mean a meaningful slice of the market wants cloud engineers who can work near model deployment, AI tooling, or related infrastructure.

For applicants, the practical answer is simple: if you want more Google Cloud jobs to fit your profile, show overlap with AWS or Azure, then make Python, Kubernetes, CI/CD, Terraform, Docker, SQL, and Linux visible where you genuinely have them. The data says those are the skills that travel with Google Cloud most often.

Google Cloud jobs and what they pay

Salary is stated in 6,207 of 12,709 postings, which means pay is visible in just under half of the market. The rest, 6,502 postings, do not state a salary. That matters because you cannot assume the pay is missing for the same reason every time. Some employers may simply prefer not to publish it, while others may reveal it later in the process. Either way, the data says the advert itself often does not give you the number.

For candidates, that means salary questions need to come up early when the advert is silent. If the posting does not state a salary, you should expect to ask before you invest too much time on screens or technical tasks.

The yearly pay figures vary by currency, and they should be read within each currency only.

The USD set is by far the largest, with 4,940 postings that show yearly pay. The median is 186,000 USD, which tells you the center of the visible pay distribution for Google Cloud jobs in USD sits at a high professional level. The lower quartile is 151,000 USD, and the upper quartile is 225,000 USD, so the pay range is broad but still clearly in a senior technical band.

The EUR set is much smaller, with 375 postings, but it is the most relevant currency group for many candidates looking at Germany and nearby markets. The median is 94,000 EUR, with a lower quartile of 71,000 EUR and an upper quartile of 120,000 EUR. That is a strong signal that Google Cloud jobs in EUR are often positioned as experienced technical roles rather than entry-level cloud support.

The EUR figures matter because they sit alongside the Germany country count. Germany has 283 postings in the country slice, but only 375 postings across the whole set show yearly pay in EUR. That tells you pay disclosure in Europe is present but not universal, so even when the role is in a European market, the advert may still keep salary hidden.

CAD, PLN, GBP, and SEK have much smaller yearly-pay counts. The CAD median is 160,000 CAD from 279 postings. The PLN median is 368,000 PLN from 94 postings. The GBP median is 102,000 GBP from 61 postings. The SEK median is 1,015,000 SEK from 27 postings. These figures are useful as local signals, but the smaller sample sizes mean fewer employers are showing pay in those currencies.

The advice from the pay data is straightforward. If you are applying to Google Cloud jobs, do not wait until late in the process to learn the range. Just under half the adverts show salary, which means many do not. When the number is there, use it to decide whether the role fits before you spend time on screens or technical tasks. When the number is missing, ask early.

Google Cloud jobs and visa language

Visa language is rare in this set. 130 postings say they offer visa sponsorship, which is 1.0%. 373 postings say they will not sponsor a visa, which is 2.9%. 689 postings say they require work authorization, which is 5.4%.

That means the majority of Google Cloud jobs do not make visa sponsorship the headline point of the advert. For candidates who need sponsorship, that creates friction: the positive signal is rare, and the negative or restrictive wording appears more often than the positive one.

If you need sponsorship, these numbers argue for checking the eligibility line before anything else. A posting that says it requires work authorization or will not sponsor a visa is not a good match unless you already have the right to work. A posting that says it offers sponsorship is valuable, but those are scarce. Most roles say nothing either way, so silence should not be read as a promise.

Google Cloud jobs and what the market is really asking for

The market is not just asking for Google Cloud knowledge. It is asking for people who can work across platforms, build infrastructure, automate delivery, and often support data or AI systems. The companion skills make that plain: AWS, Azure, Python, Kubernetes, CI/CD, SQL, Docker, Java, Terraform, LLM, Linux, and Agile all appear often enough to define the shape of the work.

The seniority mix says the same thing. Nearly half the jobs are senior, and the next largest groups are lead, staff, and director. That means employers want judgment, ownership, and hands-on experience. If your profile shows only introductory cloud knowledge, you will match fewer of the open postings. If it shows cloud plus engineering, deployment, and production experience, you will match more.

The location pattern also matters. More than half the postings are remote, and only a small share are clearly on-site. That makes Google Cloud jobs attractive for candidates who want flexibility, but it also means the employer may be choosing from a wider pool. In a remote market, your CV and skills profile need to carry more weight because geography is less of a filter.

The pay data adds a final layer. Where employers do state salary, the visible figures are not low. In USD, EUR, CAD, GBP, PLN, and SEK, the medians all point to experienced technical work. So even though the salary is missing in 6,502 postings, the ads that do publish pay are mostly not entry-level in tone.

For a candidate, the practical move is to build a profile around the skills that repeat most often, look first at remote and recent postings, and be ready to ask about salary and work authorization early when the advert leaves them out.

Google Cloud jobs on Jobee

Jobee’s counts show a market that is large, remote-friendly, senior-heavy, and built around cloud plus infrastructure plus code. If you are searching Google Cloud jobs, that is the pattern to expect in the open postings Jobee had collected on 13 November 2026.