cloud infrastructure jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-14, cloud infrastructure appears in 2,582 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning cloud infrastructure, with demand share up 3.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-14
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Frequently asked questions about cloud infrastructure
+Is cloud infrastructure in demand in 2026?
Yes. cloud infrastructure appears in 2,582 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Software Engineer accounts for the most postings mentioning cloud infrastructure (27.5% of all postings mentioning cloud infrastructure).
+What jobs require cloud infrastructure?
According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning cloud infrastructure are Lead Engineer (40.0% of that role’s postings mention cloud infrastructure), Forward Deployed Software Engineer (34.0% of that role’s postings mention cloud infrastructure), ML Platform Engineer (32.7% of that role’s postings mention cloud infrastructure).
+What skills are commonly paired with cloud infrastructure?
Across job postings indexed by Skillenai (90 days ending 2026-10-14), cloud infrastructure most often appears alongside Distributed systems, Python, observability, APIs, AWS.
+Where is cloud infrastructure most in demand?
As of 2026-10-14, the metro areas posting the most jobs requiring cloud infrastructure are San Francisco, New York City, London, Bengaluru, Singapore, according to the Skillenai jobs index.
+How can I keep up with new cloud infrastructure content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning cloud infrastructure alongside the jobs index. You can subscribe to a daily email digest of new cloud infrastructure content from your Skillenai account.
+Which skills come before and after cloud infrastructure?
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 infrastructure — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around cloud infrastructure
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before cloud infrastructure
Skills after cloud infrastructure
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 | 6 |
| Before: AWS | 5 |
| Before: React | 4 |
| Before: kubernetes | 3 |
| Before: Azure | 3 |
| Before: terraform | 3 |
| Before: APIs | 3 |
| Before: Java | 3 |
| After: python | 5 |
| After: terraform | 5 |
| After: AWS | 4 |
| After: AWS services | 4 |
| After: kubernetes | 4 |
| After: Tableau | 3 |
| After: sql | 3 |
| After: Azure | 3 |
Roles most likely to require cloud infrastructure
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Lead Engineer | 30 | 40.0% |
| Forward Deployed Software Engineer | 16 | 34.0% |
| ML Platform Engineer | 16 | 32.7% |
| Customer Engineer | 37 | 25.9% |
| Developer Experience Engineer | 5 | 21.7% |
| Frontier Agents Engineer | 4 | 18.2% |
| AI Tech Consultant | 3 | 14.3% |
| Internal Auditor | 3 | 13.6% |
| VP of Engineering | 5 | 13.5% |
| Cloud Infrastructure Engineer | 25 | 13.4% |
Roles with the most cloud infrastructure postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 710 | 27.5% |
| Engineering Manager | 191 | 7.4% |
| Product Manager | 85 | 3.3% |
| DevOps Engineer | 76 | 2.9% |
| Technical Program Manager | 68 | 2.6% |
| Site Reliability Engineer | 66 | 2.6% |
| Platform Engineer | 50 | 1.9% |
| Forward Deployed Engineer | 44 | 1.7% |
| Backend Engineer | 37 | 1.4% |
| Customer Engineer | 37 | 1.4% |
Top companies posting jobs requiring cloud infrastructure
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 300 |
| Cloudflare | 44 |
| Palantir | 41 |
| CLERA | 33 |
| Cisco | 26 |
| Twilio | 22 |
| Nebius | 21 |
| Vercel | 19 |
| Anthropic | 17 |
| MongoDB | 17 |
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 infrastructure
| Name | Postings | Share |
|---|---|---|
| San Francisco | 159 | 6.2% |
| New York City | 123 | 4.8% |
| London | 64 | 2.5% |
| Bengaluru | 55 | 2.1% |
| Singapore | 45 | 1.7% |
| Seattle | 37 | 1.4% |
| Toronto | 33 | 1.3% |
| Austin | 31 | 1.2% |
| Hyderabad | 30 | 1.2% |
Skills commonly paired with cloud infrastructure
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 infrastructure by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s cloud infrastructure postings by all cloud infrastructure 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: 1.2% to 1.2%. 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
- 943dbff7ddc1d54b
- data_as_of
- 2026-10-14
- window_days
- 90
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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