Skillenai

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

As of 2026-11-04, Google Cloud Platform (GCP) appears in 1,180 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Google Cloud Platform (GCP), with demand share down 15.0% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
1,180
Demand vs prior month
down 15.0% vs the prior 4 weeks
Top role · 13.1% of skill postings
Software Engineer
Top hiring metro
Washington

Which roles want Google Cloud Platform (GCP)?

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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 1,180 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Software Engineer accounts for the most postings mentioning Google Cloud Platform (GCP) (13.1% 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 2026-11-04, among roles with at least 20 postings, the highest shares mentioning Google Cloud Platform (GCP) are GRC Engineer (12.5% of that role’s postings mention Google Cloud Platform (GCP)), CloudOps Engineer (12.0% of that role’s postings mention Google Cloud Platform (GCP)), Cloud DevOps Engineer (9.4% 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 2026-11-04), 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 2026-11-04, the metro areas posting the most jobs requiring Google Cloud Platform (GCP) are Washington, Bengaluru, London, Hyderabad, Pune, 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): 26 observed employer moves with this skill pairsnowflake → Google Cloud Platform (GCP): 10 observed employer moves with this skill pairMYSQL → Google Cloud Platform (GCP): 9 observed employer moves with this skill pairAWS → Google Cloud Platform (GCP): 9 observed employer moves with this skill pairKafka → Google Cloud Platform (GCP): 9 observed employer moves with this skill pairspark → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairkubernetes → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairJenkins → Google Cloud Platform (GCP): 8 observed employer moves with this skill pairGoogle CloudPlatform(GCP)python: 26 movespython26 movessnowflake: 10 movessnowflake10 movesMYSQL: 9 movesMYSQL9 movesAWS: 9 movesAWS9 movesKafka: 9 movesKafka9 movesspark: 8 movesspark8 moveskubernetes: 8 moveskubernetes8 movesJenkins: 8 movesJenkins8 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) → sql: 8 observed employer moves with this skill pairGoogle Cloud Platform (GCP) → PySpark: 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: 7 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 movessql: 8 movessql8 movesPySpark: 8 movesPySpark8 movesAWS Glue: 7 movesAWS Glue7 movesdocker: 7 movesdocker7 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: python26
Before: snowflake10
Before: MYSQL9
Before: AWS9
Before: Kafka9
Before: spark8
Before: kubernetes8
Before: Jenkins8
After: python10
After: sql8
After: PySpark8
After: AWS Glue7
After: docker7
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 Engineer312.5%
CloudOps Engineer312.0%
Cloud DevOps Engineer89.4%
UI Engineer29.1%
AI/ML Architect28.7%
Cloud Data Engineer48.5%
Professional Services Engineer47.5%
Site Reliability Engineering Manager46.8%
Cloud Solutions Architect56.3%
Customer Success Manager25.9%

Roles with the most Google Cloud Platform (GCP) postings

RolePostings mentioning skillShare of skill postings
Software Engineer15413.1%
Data Engineer13411.4%
DevOps Engineer907.6%
Cloud Engineer635.3%
Site Reliability Engineer554.7%
Platform Engineer282.4%
Cloud Architect242.0%
Backend Engineer221.9%
Data Scientist191.6%
AI Engineer171.4%

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
Devoteam32
LightFeather30
Google22
LBG22
CLERA18
PwC17
Palo Alto Networks17
Db15
WPP13
ALTEN13

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
Washington363.1%
Bengaluru332.8%
London262.2%
Hyderabad231.9%
Pune231.9%
New York City171.4%
Paris161.4%
Madrid131.1%
Stockholm121.0%

Skills commonly paired with Google Cloud Platform (GCP)

Python (519)Kubernetes (409)Terraform (403)CI/CD (370)BigQuery (297)Docker (281)SQL (277)AWS (225)IAM (166)Azure (161)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-04. 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 0.6%. 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 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (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
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index