replication jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, replication appears in 529 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning replication, with demand share up 2.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want replication?
Upload your resume and Skillenai will show which roles your replication experience fits, which skills you already cover, and what is missing.
Frequently asked questions about replication
+Is replication in demand in 2026?
Yes. replication appears in 529 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Software Engineer accounts for the most postings mentioning replication (24.4% of all postings mentioning replication).
+What jobs require replication?
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 replication are Core Infrastructure Engineer (47.7% of that role’s postings mention replication), Infrastructure Engineering Manager (20.0% of that role’s postings mention replication), Database Reliability Engineer (17.1% of that role’s postings mention replication).
+What skills are commonly paired with replication?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), replication most often appears alongside Distributed systems, PostgreSQL, Kubernetes, disaster recovery, Python.
+Where is replication most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring replication are Nashville, San Francisco, Bengaluru, New York City, Seattle, according to the Skillenai jobs index.
+How can I keep up with new replication content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning replication alongside the jobs index. You can subscribe to a daily email digest of new replication content from your Skillenai account.
+Which skills come before and after replication?
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 replication — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around replication
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before replication
Skills after replication
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: SQL Server | 4 |
| Before: python | 3 |
| Before: SSIS | 3 |
| Before: sql | 3 |
| Before: C# | 2 |
| Before: high availability | 2 |
| Before: disaster recovery | 2 |
| Before: Virtualization | 2 |
| After: disaster recovery | 4 |
| After: SQL Server | 3 |
| After: backup and recovery | 3 |
| After: ETL | 3 |
| After: Azure | 3 |
| After: AWS | 3 |
| After: SSIS | 2 |
| After: data replication | 2 |
Roles most likely to require replication
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Core Infrastructure Engineer | 21 | 47.7% |
| Infrastructure Engineering Manager | 4 | 20.0% |
| Database Reliability Engineer | 7 | 17.1% |
| Database Architect | 6 | 16.2% |
| Database Engineer | 20 | 15.7% |
| Storage Architect | 3 | 13.0% |
| Database Administrator | 83 | 13.0% |
| Database Administrator (DBA) | 3 | 12.5% |
| Storage Engineer | 4 | 11.8% |
| Infrastructure Software Engineer | 2 | 8.7% |
Roles with the most replication postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 129 | 24.4% |
| Database Administrator | 83 | 15.7% |
| Infrastructure Engineer | 24 | 4.5% |
| Core Infrastructure Engineer | 21 | 4.0% |
| Database Engineer | 20 | 3.8% |
| Platform Engineer | 11 | 2.1% |
| Solutions Architect | 10 | 1.9% |
| Backend Engineer | 9 | 1.7% |
| Data Engineer | 9 | 1.7% |
| Systems Engineer | 9 | 1.7% |
Top companies posting jobs requiring replication
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Opower | 37 |
| Oracle | 32 |
| ClickHouse | 11 |
| ServiceNow | 10 |
| Snowflake | 10 |
| Mariadb | 8 |
| eBay | 7 |
| Gitlab | 7 |
| Commercetools | 6 |
| Teradata | 5 |
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 replication
| Name | Postings | Share |
|---|---|---|
| Nashville | 55 | 10.4% |
| San Francisco | 18 | 3.4% |
| Bengaluru | 17 | 3.2% |
| New York City | 13 | 2.5% |
| Seattle | 13 | 2.5% |
| London | 9 | 1.7% |
| Hyderabad | 8 | 1.5% |
| Santa Clara | 8 | 1.5% |
| Berlin | 7 | 1.3% |
Skills commonly paired with replication
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 replication by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s replication postings by all replication 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 2,472 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
- ba3a1563601388c8
- data_as_of
- 2026-11-05
- window_days
- 90