RabbitMQ jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, RabbitMQ appears in 1,516 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning RabbitMQ, with demand down 51% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about RabbitMQ
+Is RabbitMQ in demand in 2026?
Yes. RabbitMQ appears in 1,516 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 51% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning RabbitMQ (44.5% of all postings mentioning RabbitMQ).
+What jobs require RabbitMQ?
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 RabbitMQ are CloudOps Engineer (51.6% of that role’s postings mention RabbitMQ), Software Engineering Team Lead (31.8% of that role’s postings mention RabbitMQ), Consulting Engineer (29.0% of that role’s postings mention RabbitMQ).
+What skills are commonly paired with RabbitMQ?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), RabbitMQ most often appears alongside Kafka, Kubernetes, Docker, PostgreSQL, AWS.
+Where is RabbitMQ most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring RabbitMQ are New York City, London, Bengaluru, Toronto, Boston, according to the Skillenai jobs index.
+How can I keep up with new RabbitMQ content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning RabbitMQ alongside the jobs index. You can subscribe to a daily email digest of new RabbitMQ content from your Skillenai account.
Weekly job postings requiring RabbitMQ — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require RabbitMQ
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| CloudOps Engineer | 16 | 51.6% |
| Software Engineering Team Lead | 7 | 31.8% |
| Consulting Engineer | 18 | 29.0% |
| Integrations Engineer | 7 | 25.0% |
| AI Builder | 5 | 23.8% |
| .NET Developer | 8 | 18.6% |
| Field Engineer | 6 | 13.3% |
| Java Engineer | 5 | 11.6% |
| Python Engineer | 6 | 11.5% |
| Back-End Developer | 2 | 10.0% |
Roles with the most RabbitMQ postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 675 | 44.5% |
| Backend Engineer | 154 | 10.2% |
| Backend Software Engineer | 42 | 2.8% |
| Data Engineer | 30 | 2.0% |
| Engineering Manager | 27 | 1.8% |
| DevOps Engineer | 26 | 1.7% |
| Site Reliability Engineer | 24 | 1.6% |
| Backend Developer | 20 | 1.3% |
| Software Engineering Manager | 19 | 1.3% |
| Consulting Engineer | 18 | 1.2% |
Top metros hiring for RabbitMQ
| Name | Postings | Share |
|---|---|---|
| New York City | 49 | 3.2% |
| London | 46 | 3.0% |
| Bengaluru | 44 | 2.9% |
| Toronto | 36 | 2.4% |
| Boston | 25 | 1.6% |
| San Jose | 24 | 1.6% |
| San Francisco | 22 | 1.5% |
| Amsterdam | 19 | 1.3% |
| Tel Aviv | 19 | 1.3% |
Skills commonly paired with RabbitMQ
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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 RabbitMQ by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s RabbitMQ postings by all RabbitMQ 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
- 0a7661d375b5852f
- 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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