deployment jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, deployment appears in 2,490 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning deployment, with demand down 45% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about deployment
+Is deployment in demand in 2026?
Yes. deployment appears in 2,490 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 45% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning deployment (25.1% of all postings mentioning deployment).
+What jobs require deployment?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning deployment are AI/ML Architect (19.2% of that role’s postings mention deployment), GenAI Engineer (13.6% of that role’s postings mention deployment), Founding AI Engineer (13.6% of that role’s postings mention deployment).
+What skills are commonly paired with deployment?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), deployment most often appears alongside testing, Python, monitoring, observability, CI/CD.
+Where is deployment most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring deployment are San Francisco, New York City, London, Bengaluru, Redmond, according to the Skillenai jobs index.
+How can I keep up with new deployment content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning deployment alongside the jobs index. You can subscribe to a daily email digest of new deployment content from your Skillenai account.
Weekly job postings requiring deployment — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require deployment
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI/ML Architect | 5 | 19.2% |
| GenAI Engineer | 6 | 13.6% |
| Founding AI Engineer | 3 | 13.6% |
| AI Engineering Director | 7 | 13.0% |
| Machine Learning Research Engineer | 4 | 11.8% |
| Professional Services Engineer | 6 | 10.7% |
| Applied ML Engineer | 2 | 9.5% |
| Founding Product Engineer | 2 | 9.5% |
| React Native Developer | 2 | 9.5% |
| SAP Architect | 2 | 9.5% |
Roles with the most deployment postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 625 | 25.1% |
| Machine Learning Engineer | 85 | 3.4% |
| Data Scientist | 68 | 2.7% |
| AI Engineer | 66 | 2.7% |
| Backend Engineer | 64 | 2.6% |
| Product Manager | 58 | 2.3% |
| Technical Program Manager | 56 | 2.2% |
| DevOps Engineer | 48 | 1.9% |
| Engineering Manager | 44 | 1.8% |
| ML Engineer | 44 | 1.8% |
Top metros hiring for deployment
| Name | Postings | Share |
|---|---|---|
| San Francisco | 114 | 4.6% |
| New York City | 108 | 4.3% |
| London | 58 | 2.3% |
| Bengaluru | 50 | 2.0% |
| Redmond | 36 | 1.4% |
| Seattle | 36 | 1.4% |
| Singapore | 29 | 1.2% |
| Paris | 27 | 1.1% |
| Hyderabad | 26 | 1.0% |
Skills commonly paired with deployment
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 deployment by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s deployment postings by all deployment 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).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 63fcbaf08073a14f
- data_as_of
- 2026-09-28
- 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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