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 8 966 open positions listing GCP, 8 445 of them fresh. The main roles are DevOps, Data and Fullstack. GCP most often appears next to AWS, Azure and Python. 42% 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 8,966 open roles, 8,445 of them freshly observed. Median salary $9,456/mo. Observed candidate pool — 595.
42% of GCP postings allow fully remote work.
⚠ salary known for 664 of 8966 jobs; remote share from 7188 with a stated format; 8445 counted as fresh observations; trend and hiring difficulty are not shown
Demand and observed supply
| Open demand | 8,966 |
| Observed supply | 595 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $4,425, one in ten over $18,250. Half the market falls between $6,087 and $14,583. Sample: 664.
The GCP range histogram uses only postings with an explicit compensation range.
Demand geography
| country | jobs |
|---|---|
| US | 2,038 |
| PL | 1,697 |
| IN | 678 |
| GB | 505 |
| DE | 261 |
| CA | 179 |
| FR | 151 |
| SG | 123 |
| HK | 113 |
| ES | 111 |
The top country for GCP demand is the US (2 038 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 | 1,595 |
| Data | 1,256 |
| Fullstack | 705 |
| Backend | 702 |
| Security | 631 |
| Architect | 600 |
| Platform Engineer | 566 |
| ML/AI | 525 |
| AI Engineer | 446 |
| SRE | 236 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 3,207 |
| principal | 656 |
| lead | 611 |
| middle | 398 |
| junior | 133 |
Senior-and-above is about 89% of 5 005 graded GCP postings.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 3,013 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 | 8.2% |
| 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 134 sources; the largest accounts for 27.8% — this market does not rest on a single channel.
GCP postings arrive mostly from job boards & aggregators and ATS & career sites.
Recent openings
- Senior ML Engineer · PL
- Project Manager · HK
- Senior IT Manager (cloud migration) · HK
- Développeur Data (Java,Power BI,SQL,GCP,Kafka,Terraform,GitHub),-(h/f) · FR
- Tech Lead - Google Cloud Platform Infrastructure, Data Mesh and AI Platforms team · PL
- GCP Cloud Engineer, Data Mesh and AI Platforms team · PL
- Senior Java Software Engineer · PL
- Senior Java Developer · PL
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 2026-10-20
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 8 966 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.