GCP: market
GCP (Google Cloud Platform) is the market's third major cloud with a distinctly data-shaped profile: BigQuery, Dataflow, Vertex AI and GKE pull demand from analytics, data engineering and ML. We track 9 761 open positions listing GCP, 9 397 of them fresh. The main roles are DevOps, Data and Fullstack. GCP most often appears next to AWS, Azure and Python. 41% of the postings allow fully remote work. GKE is considered the reference managed Kubernetes, so GCP experience is welcomed even by infrastructure teams on other clouds. Below is measured GCP demand from public sources.
The GCP market currently has 9,761 open roles, 9,397 of them freshly observed. Median salary $10,000/mo. Observed candidate pool — 600.
41% of GCP postings allow fully remote work.
⚠ salary known for 906 of 9761 jobs; remote share from 7958 with a stated format; 9397 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many GCP postings appeared each week since 10 Aug, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 185
New sources connected: 17 Aug +28 · 24 Aug +21 · 31 Aug +12 · 7 Sept +12 · 14 Sept +14 · 21 Sept +25 · 28 Sept +7 · 5 Oct +6 · 12 Oct +11
Week = posting first-seen date, all statuses. A posting belongs to the technology by its stack tag; the series starts on 10 Aug 2026 — earlier tags were assigned differently and are not comparable. Sources are distinct collection channels; their names are not published.
Salaries over time
Median GCP salary per week, USD per month.
Median salary, USD per month
Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.
Remote work over time
Share of GCP postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Countries over time
How the share of GCP postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Demand and observed supply
| Open demand | 9,761 |
| Observed supply | 600 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $4,583, one in ten over $18,370. Half the market falls between $6,250 and $15,025. Sample: 906.
The GCP range histogram uses only postings with an explicit compensation range.
Demand geography
| country | jobs |
|---|---|
| US | 2,218 |
| PL | 1,870 |
| IN | 789 |
| GB | 545 |
| DE | 269 |
| CA | 215 |
| FR | 168 |
| SG | 133 |
| BR | 131 |
| HK | 121 |
The top country for GCP demand is the US (2 218 positions).
⚠ job counts only: salary by country is not published
Used together with
GCP most often appears next to AWS, Azure and Python: the data stack and containers are the two main reasons GCP shows up in requirements.
Roles that use it
| role | jobs |
|---|---|
| DevOps | 1,731 |
| Data | 1,358 |
| Fullstack | 827 |
| Backend | 743 |
| Security | 689 |
| Architect | 666 |
| Platform Engineer | 609 |
| ML/AI | 567 |
| AI Engineer | 508 |
| SRE | 269 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 3,659 |
| principal | 737 |
| lead | 684 |
| middle | 446 |
| junior | 139 |
Senior-and-above is about 90% of 5 665 graded GCP postings.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 3,245 employers. The largest accounts for 4.4%, the top ten for 12.8%; the remaining 87.2% is long tail.
| share | value |
|---|---|
| top-1 | 4.4% |
| top-3 | 8.5% |
| top-10 | 12.8% |
| long tail | 87.2% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 140 sources; the largest accounts for 26.9% — this market does not rest on a single channel.
GCP postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings
- Principal Architect, Healthcare · US · $13,819
- Manager - Cloud Infrastructure Support · IN
- GCP Cloud Engineer II · IN
- Senior OpenStack Engineer
- Senior Full-Stack Software Engineer - (. Net and Angular) · EG
- Full-Stack Software Engineer - (. Net and Angular) · EG
- Manager, Technical Support (Mexico City Only)
- Core Experience Engineer - Senior Software Engineer · BR · $4,750
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 7.
Data as of 2026-10-23
Frequently asked questions
Common questions about the GCP market — short answers from the slice.
How do GCP jobs differ from AWS and Azure?
By profile: GCP is asked for in data and ML (BigQuery, Dataflow, Vertex AI), AWS — in product backend and serverless, Azure — in the enterprise segment. GKE, meanwhile, is one of the best managed Kubernetes offerings, keeping infrastructure demand for GCP steady.
Which roles need GCP?
The slice shows demand from DevOps, Data, Fullstack and Backend roles. Data engineers need BigQuery and Dataflow, ML engineers — Vertex AI and GPU clusters, DevOps — GKE and Cloud Build, analysts — BigQuery and Looker.
What should I learn for GCP jobs?
For the data profile: SQL and BigQuery, then Dataflow/Composer and dbt. For infrastructure: GKE, Terraform, networking and IAM. Certifications (Professional Data Engineer, Cloud Architect) are a plus in postings, not a filter.
How big is the GCP market?
The current slice tracks 9 761 open GCP positions — fewer than AWS and Azure, but the data direction grows faster than average: BigQuery became the standard analytical warehouse in product companies.