caching jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, caching appears in 1,332 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning caching, with demand down 33% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about caching
+Is caching in demand in 2026?
Yes. caching appears in 1,332 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 33% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning caching (44.4% of all postings mentioning caching).
+What jobs require caching?
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 caching are Agent Engineer (19.0% of that role’s postings mention caching), Technical Services Engineer (16.1% of that role’s postings mention caching), Engineering Team Lead (14.3% of that role’s postings mention caching).
+What skills are commonly paired with caching?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), caching most often appears alongside Python, Distributed systems, observability, CI/CD, Java.
+Where is caching most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring caching are San Francisco, New York City, London, Bengaluru, Singapore, according to the Skillenai jobs index.
+How can I keep up with new caching content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning caching alongside the jobs index. You can subscribe to a daily email digest of new caching content from your Skillenai account.
Weekly job postings requiring caching — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require caching
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Agent Engineer | 4 | 19.0% |
| Technical Services Engineer | 5 | 16.1% |
| Engineering Team Lead | 3 | 14.3% |
| Database Architect | 3 | 11.1% |
| Back-end Engineer | 7 | 10.1% |
| Full-Stack AI Engineer | 2 | 10.0% |
| AI Operations Engineer | 3 | 9.4% |
| Technical Support Manager | 2 | 9.1% |
| Cloud Solutions Architect | 7 | 9.0% |
| Web Engineer | 4 | 8.9% |
Roles with the most caching postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 592 | 44.4% |
| Backend Engineer | 106 | 8.0% |
| Frontend Engineer | 31 | 2.3% |
| Full Stack Engineer | 28 | 2.1% |
| Engineering Manager | 24 | 1.8% |
| AI Engineer | 22 | 1.7% |
| Data Engineer | 22 | 1.7% |
| Backend Developer | 13 | 1.0% |
| Android Software Engineer | 12 | 0.9% |
| Backend Software Engineer | 12 | 0.9% |
Top metros hiring for caching
| Name | Postings | Share |
|---|---|---|
| San Francisco | 102 | 7.7% |
| New York City | 70 | 5.3% |
| London | 40 | 3.0% |
| Bengaluru | 31 | 2.3% |
| Singapore | 25 | 1.9% |
| Seattle | 23 | 1.7% |
| Toronto | 23 | 1.7% |
| Dublin | 20 | 1.5% |
| Pune | 16 | 1.2% |
Skills commonly paired with caching
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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 caching by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s caching postings by all caching 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
- 3e5a87307ff814be
- 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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