Google Cloud Platform (GCP) jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Google Cloud Platform (GCP) appears in 1,517 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Google Cloud Platform (GCP), with demand share up 1.7% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
1,517
Demand vs prior month
up 1.7% vs the prior 4 weeks
Top role · 12.2% of skill postings
Top hiring metro
Washington

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Frequently asked questions about Google Cloud Platform (GCP)

+Is Google Cloud Platform (GCP) in demand in 2026?

Yes. Google Cloud Platform (GCP) appears in 1,517 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Engineer accounts for the most postings mentioning Google Cloud Platform (GCP) (12.2% of all postings mentioning Google Cloud Platform (GCP)).

+What jobs require Google Cloud Platform (GCP)?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Google Cloud Platform (GCP) are GRC Engineer (13.6% of that role’s postings mention Google Cloud Platform (GCP)), AI/ML Architect (11.5% of that role’s postings mention Google Cloud Platform (GCP)), Cloud DevOps Engineer (10.8% of that role’s postings mention Google Cloud Platform (GCP)).

+What skills are commonly paired with Google Cloud Platform (GCP)?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Google Cloud Platform (GCP) most often appears alongside Python, Kubernetes, Terraform, CI/CD, BigQuery.

+Where is Google Cloud Platform (GCP) most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Google Cloud Platform (GCP) are Washington, Bengaluru, London, Pune, New York City, according to the Skillenai jobs index.

+How can I keep up with new Google Cloud Platform (GCP) content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Google Cloud Platform (GCP) alongside the jobs index. You can subscribe to a daily email digest of new Google Cloud Platform (GCP) content from your Skillenai account.

+Which skills come before and after Google Cloud Platform (GCP)?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Google Cloud Platform (GCP) — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Google Cloud Platform (GCP)

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Google Cloud Platform (GCP)

Before Google Cloud Platform (GCP)python → Google Cloud Platform (GCP): 25 observed employer moves with this skill pairsnowflake → Google Cloud Platform (GCP): 9 observed employer moves with this skill pairMYSQL → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairAWS → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairterraform → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairTableau → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairJava → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairspark → Google Cloud Platform (GCP): 7 observed employer moves with this skill pairGoogle CloudPlatform(GCP)python: 25 movespython25 movessnowflake: 9 movessnowflake9 movesMYSQL: 8 movesMYSQL8 movesAWS: 8 movesAWS8 movesterraform: 8 movesterraform8 movesTableau: 8 movesTableau8 movesJava: 8 movesJava8 movesspark: 7 movesspark7 moves

Skills after Google Cloud Platform (GCP)

After Google Cloud Platform (GCP)Google Cloud Platform (GCP) → python: 10 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → PySpark: 8 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → sql: 8 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → AWS Glue: 7 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → docker: 6 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → terraform: 6 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → BigQuery: 5 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → Azure DevOps: 5 observed employer moves with this skill pairGoogle CloudPlatform(GCP)python: 10 movespython10 movesPySpark: 8 movesPySpark8 movessql: 8 movessql8 movesAWS Glue: 7 movesAWS Glue7 movesdocker: 6 movesdocker6 movesterraform: 6 movesterraform6 movesBigQuery: 5 movesBigQuery5 movesAzure DevOps: 5 movesAzure DevOps5 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python25
Before: snowflake9
Before: MYSQL8
Before: AWS8
Before: terraform8
Before: Tableau8
Before: Java8
Before: spark7
After: python10
After: PySpark8
After: sql8
After: AWS Glue7
After: docker6
After: terraform6
After: BigQuery5
After: Azure DevOps5

Roles most likely to require Google Cloud Platform (GCP)

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
GRC Engineer313.6%
AI/ML Architect311.5%
Cloud DevOps Engineer910.8%
Cloud Operations Engineer510.6%
Cloud Engineer8210.4%
Cloud Security Analyst210.0%
ML Ops Engineer49.8%
Data & Analytics Engineer29.5%
CloudOps Engineer39.4%
Professional Services Engineer59.1%

Roles with the most Google Cloud Platform (GCP) postings

RolePostings mentioning skillShare of skill postings
Data Engineer18512.2%
Software Engineer18412.1%
DevOps Engineer986.5%
Cloud Engineer825.4%
Site Reliability Engineer795.2%
Platform Engineer332.2%
Backend Engineer271.8%
Cloud Architect251.6%
AI Engineer241.6%
Data Scientist231.5%

Top companies posting jobs requiring Google Cloud Platform (GCP)

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Google Cloud Platform (GCP)
CompanyPostings · 90 days
LightFeather59
Devoteam31
Google25
CLERA23
66degrees20
LBG20
WPP18
MongoDB15
PwC14
Db14

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Google Cloud Platform (GCP)

NamePostingsShare
Washington614.0%
Bengaluru422.8%
London322.1%
Pune261.7%
New York City251.6%
Hyderabad231.5%
Paris231.5%
Toronto201.3%
San Francisco181.2%

Skills commonly paired with Google Cloud Platform (GCP)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 Platform (GCP) 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 Platform (GCP) postings by all Google Cloud Platform (GCP) 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). Adjusted posting share: 0.7% to 0.7%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
33e73aa39e5b59d0
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Google Cloud Platform (GCP)?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index