Google Cloud jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Google Cloud appears in 2,226 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Google Cloud, with demand down 55% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Google Cloud
+Is Google Cloud in demand in 2026?
Yes. Google Cloud appears in 2,226 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 55% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning Google Cloud (28.7% of all postings mentioning Google Cloud).
+What jobs require Google Cloud?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Google Cloud are Data Science Consultant (23.6% of that role’s postings mention Google Cloud), Technical Consultant (20.2% of that role’s postings mention Google Cloud), Full Stack AI Engineer (14.3% of that role’s postings mention Google Cloud).
+What skills are commonly paired with Google Cloud?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Google Cloud most often appears alongside AWS, Python, Azure, Java, SQL.
+Where is Google Cloud most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Google Cloud are McLean, New York City, Toronto, Bengaluru, London, according to the Skillenai jobs index.
+How can I keep up with new Google Cloud content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Google Cloud alongside the jobs index. You can subscribe to a daily email digest of new Google Cloud content from your Skillenai account.
Weekly job postings requiring Google Cloud — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Google Cloud
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Science Consultant | 17 | 23.6% |
| Technical Consultant | 25 | 20.2% |
| Full Stack AI Engineer | 5 | 14.3% |
| Partner Solutions Architect | 4 | 13.8% |
| AI Ops Engineer | 3 | 13.6% |
| Java Backend Engineer | 4 | 13.3% |
| Solutions Engineer | 4 | 12.9% |
| AI / ML Engineer | 6 | 11.8% |
| AI/ML Architect | 3 | 11.5% |
| GenAI Engineer | 5 | 11.4% |
Roles with the most Google Cloud postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 639 | 28.7% |
| Data Engineer | 120 | 5.4% |
| Solutions Architect | 61 | 2.7% |
| Full Stack Software Engineer | 50 | 2.2% |
| DevOps Engineer | 49 | 2.2% |
| AI Engineer | 47 | 2.1% |
| Solution Architect | 37 | 1.7% |
| Cloud Engineer | 36 | 1.6% |
| Site Reliability Engineer | 36 | 1.6% |
| Data Scientist | 34 | 1.5% |
Top metros hiring for Google Cloud
| Name | Postings | Share |
|---|---|---|
| McLean | 78 | 3.5% |
| New York City | 55 | 2.5% |
| Toronto | 47 | 2.1% |
| Bengaluru | 45 | 2.0% |
| London | 38 | 1.7% |
| Austin | 32 | 1.4% |
| Chicago | 31 | 1.4% |
| San Francisco | 30 | 1.3% |
| Plano | 28 | 1.3% |
Skills commonly paired with Google Cloud
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Google Cloud by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Google Cloud postings by all Google Cloud postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- e065c4636a9fa3a4
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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