disaster recovery jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, disaster recovery appears in 1,753 job postings indexed by Skillenai over the past 90 days — Database Administrator has the most postings mentioning disaster recovery, with demand share up 8.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want disaster recovery?
Upload your resume and Skillenai will show which roles your disaster recovery experience fits, which skills you already cover, and what is missing.
Frequently asked questions about disaster recovery
+Is disaster recovery in demand in 2026?
Yes. disaster recovery appears in 1,753 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Database Administrator accounts for the most postings mentioning disaster recovery (8.8% of all postings mentioning disaster recovery).
+What jobs require disaster recovery?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning disaster recovery are Database Reliability Engineer (31.7% of that role’s postings mention disaster recovery), Database Administrator (DBA) (25.0% of that role’s postings mention disaster recovery), Infrastructure Engineering Manager (25.0% of that role’s postings mention disaster recovery).
+What skills are commonly paired with disaster recovery?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), disaster recovery most often appears alongside AWS, CI/CD, Terraform, Kubernetes, observability.
+Where is disaster recovery most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring disaster recovery are Pune, New York City, Hyderabad, Bengaluru, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new disaster recovery content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning disaster recovery alongside the jobs index. You can subscribe to a daily email digest of new disaster recovery content from your Skillenai account.
+Which skills come before and after disaster recovery?
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 disaster recovery — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around disaster recovery
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before disaster recovery
Skills after disaster recovery
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: terraform | 20 |
| Before: Jenkins | 18 |
| Before: AWS | 16 |
| Before: python | 13 |
| Before: docker | 12 |
| Before: Ansible | 11 |
| Before: Git | 10 |
| Before: Splunk | 10 |
| After: terraform | 15 |
| After: kubernetes | 11 |
| After: AWS | 11 |
| After: Ansible | 10 |
| After: Azure DevOps | 9 |
| After: python | 8 |
| After: Azure | 8 |
| After: incident response | 7 |
Roles most likely to require disaster recovery
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Reliability Engineer | 13 | 31.7% |
| Database Administrator (DBA) | 6 | 25.0% |
| Infrastructure Engineering Manager | 5 | 25.0% |
| Database Administrator | 155 | 24.2% |
| Database Engineer | 23 | 17.8% |
| Storage Architect | 4 | 17.4% |
| Database Architect | 6 | 16.2% |
| Chief Information Security Officer | 14 | 15.2% |
| IT Manager | 3 | 13.0% |
| DevOps Manager | 4 | 12.5% |
Roles with the most disaster recovery postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Database Administrator | 155 | 8.8% |
| Site Reliability Engineer | 119 | 6.8% |
| Software Engineer | 107 | 6.1% |
| DevOps Engineer | 81 | 4.6% |
| Systems Engineer | 78 | 4.4% |
| Cloud Engineer | 58 | 3.3% |
| Platform Engineer | 46 | 2.6% |
| Solutions Architect | 46 | 2.6% |
| Infrastructure Engineer | 40 | 2.3% |
| Cloud Architect | 30 | 1.7% |
Top companies posting jobs requiring disaster recovery
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NetLimiter | 28 |
| Mastercard | 20 |
| FIS | 16 |
| Kyndryl | 14 |
| Elsevier | 14 |
| Databricks | 13 |
| Inetum | 13 |
| Cisco | 12 |
| CACI | 11 |
| City of New York | 11 |
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 disaster recovery
| Name | Postings | Share |
|---|---|---|
| Pune | 34 | 1.9% |
| New York City | 32 | 1.8% |
| Hyderabad | 31 | 1.8% |
| Bengaluru | 30 | 1.7% |
| San Francisco | 29 | 1.7% |
| London | 23 | 1.3% |
| Singapore | 18 | 1.0% |
| Toronto | 17 | 1.0% |
| Seattle | 16 | 0.9% |
Skills commonly paired with disaster recovery
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 2026-11-05. 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 disaster recovery by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s disaster recovery postings by all disaster recovery 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: 0.6% to 0.6%. 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 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (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
- 4d713faf9b5cf334
- data_as_of
- 2026-11-05
- window_days
- 90