SkillTrendLab
Skill · Cloud · Production and delivery

Google Cloud

Google's cloud platform.

9.7%
of core AI postings mention it
340
postings
225
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 9 role families mention Google Cloud in this edition.

None of the 8 role families with a page of their own mentions Google Cloud in one posting in five or more.

No role family with a page of its own mentions Google Cloud at twice its share of all core AI postings or more.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. MLOps / Platform Engineer39.5%
    15 of 38 postings · Sample below the page threshold; not read
  2. 28 of 175 postings
  3. 24 of 151 postings
  4. 215 of 1,741 postings
  5. 14 of 305 postings
  6. 9 of 321 postings
  7. 3 of 113 postings
  8. AI Researcher1.7%
    1 of 60 postings · Sample below the page threshold; not read
  9. 1 of 225 postings

Skills that appear with it

Each share divides by the postings that mention Google Cloud: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python75.6%
    Languages · 257 postings
  2. Methods and process · 167 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. AWS81.8%
    Cloud · 278 postings
  2. Azure68.2%
    Cloud · 232 postings
  3. Docker52.9%
    DevOps · 180 postings
  4. Git49.1%
    Tools · 167 postings
  5. CI/CD41.8%
    DevOps · 142 postings
  6. DevOps · 124 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. LLM57.1%
    LLM applications · 194 postings
  2. RAG38.2%
    LLM applications · 130 postings
  3. LLM applications · 121 postings
  4. LLM applications · 120 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    149
    43.8%
  2. Electronics & Hardware
    48
    14.1%
  3. Finance & Insurance
    39
    11.5%
  4. Semiconductor
    20
    5.9%
  5. Wholesale, Retail & E-commerce
    16
    4.7%
  6. Healthcare & Biotech
    15
    4.4%
  7. Telecom, Media & Digital Content
    14
    4.1%
  8. Manufacturing
    12
    3.5%
  9. Consulting & Marketing Services
    10
    2.9%
  10. Professional Services
    7
    2.1%
  11. Hospitality & Consumer Services
    5
    1.5%
  12. Construction & Real Estate
    3
    0.9%
Place
  1. Taipei
    216
    63.5%
  2. New Taipei
    48
    14.1%
  3. Taichung
    20
    5.9%
  4. Hsinchu City
    16
    4.7%
  5. Taoyuan
    15
    4.4%
  6. Kaohsiung
    11
    3.2%
  7. Hsinchu County
    8
    2.4%
  8. Tainan
    3
    0.9%
  9. Miaoli
    2
    0.6%
  10. Chiayi County
    1
    0.3%

Where this number is read from

Of the 340 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    12
  2. Job title
    3
  3. Job description
    336
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.