Cloud environments jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, Cloud environments appears in 366 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Cloud environments, with demand share down 17.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want Cloud environments?
Upload your resume and Skillenai will show which roles your Cloud environments experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Cloud environments
+Is Cloud environments in demand in 2026?
Yes. Cloud environments appears in 366 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning Cloud environments (16.9% of all postings mentioning Cloud environments).
+What jobs require Cloud environments?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Cloud environments are Field Application Engineer (10.0% of that role’s postings mention Cloud environments), Product Security Architect (9.5% of that role’s postings mention Cloud environments), Quality Automation Engineer (8.7% of that role’s postings mention Cloud environments).
+What skills are commonly paired with Cloud environments?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), Cloud environments most often appears alongside Python, AWS, CI/CD, Java, APIs.
+Where is Cloud environments most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring Cloud environments are New York City, Munich, Tel Aviv, Bengaluru, San Jose, according to the Skillenai jobs index.
+How can I keep up with new Cloud environments content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Cloud environments alongside the jobs index. You can subscribe to a daily email digest of new Cloud environments content from your Skillenai account.
+Which skills come before and after Cloud environments?
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 Cloud environments — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Cloud environments
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Cloud environments
Skills after Cloud environments
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.
| Connection | Moves |
|---|---|
| Before: python | 5 |
| Before: docker | 2 |
| Before: AWS | 2 |
| Before: spark | 1 |
| Before: NLP | 1 |
| Before: social media | 1 |
| Before: Vulnerability Management | 1 |
| Before: mobile applications | 1 |
| After: IDS/IPS | 2 |
| After: Vulnerability Management | 2 |
| After: Logs | 2 |
| After: Bicep | 1 |
| After: Access controls | 1 |
| After: embedded distribution | 1 |
| After: configuration weaknesses | 1 |
| After: iStack – Wi-Fi 7 soft-handoff kernel module (C) | 1 |
Roles most likely to require Cloud environments
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Field Application Engineer | 2 | 10.0% |
| Product Security Architect | 2 | 9.5% |
| Quality Automation Engineer | 2 | 8.7% |
| Information System Security Engineer | 2 | 8.0% |
| IT Solution Architect | 1 | 5.0% |
| Network Systems Engineer | 1 | 4.3% |
| Applied AI Architect | 3 | 4.2% |
| AWS Cloud Engineer | 1 | 3.7% |
| AI Security Architect | 1 | 3.6% |
| Lead Developer | 1 | 3.6% |
Roles with the most Cloud environments postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 62 | 16.9% |
| Security Engineer | 16 | 4.4% |
| AI Engineer | 10 | 2.7% |
| Machine Learning Engineer | 10 | 2.7% |
| Data Engineer | 9 | 2.5% |
| Cybersecurity Engineer | 8 | 2.2% |
| Full-Stack Software Engineer | 8 | 2.2% |
| Data Scientist | 7 | 1.9% |
| Engineering Manager | 7 | 1.9% |
| Full Stack Engineer | 7 | 1.9% |
Top companies posting jobs requiring Cloud environments
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 12 |
| Kalepa | 9 |
| Anthropic | 8 |
| Scale AI | 6 |
| CrowdStrike | 6 |
| Cisco | 6 |
| Accenture | 6 |
| Capital One | 5 |
| Nearform | 5 |
| CACI | 4 |
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 Cloud environments
| Name | Postings | Share |
|---|---|---|
| New York City | 12 | 3.3% |
| Munich | 11 | 3.0% |
| Tel Aviv | 9 | 2.5% |
| Bengaluru | 7 | 1.9% |
| San Jose | 7 | 1.9% |
| Arlington | 6 | 1.6% |
| London | 6 | 1.6% |
| Paris | 6 | 1.6% |
| Chicago | 4 | 1.1% |
Skills commonly paired with Cloud environments
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 2026-10-29. 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 Cloud environments by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Cloud environments postings by all Cloud environments 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: 0.2% to 0.2%. 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- 5a5fb3f892a80ba6
- data_as_of
- 2026-10-29
- window_days
- 90