containerisation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, containerisation appears in 330 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning containerisation, with demand share up 5.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want containerisation?
Upload your resume and Skillenai will show which roles your containerisation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about containerisation
+Is containerisation in demand in 2026?
Yes. containerisation appears in 330 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning containerisation (24.2% of all postings mentioning containerisation).
+What jobs require containerisation?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning containerisation are Security Platform Engineer (9.1% of that role’s postings mention containerisation), Full Stack AI Engineer (7.3% of that role’s postings mention containerisation), AI Enablement Engineer (5.4% of that role’s postings mention containerisation).
+What skills are commonly paired with containerisation?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), containerisation most often appears alongside CI/CD, Python, Kubernetes, AWS, Java.
+Where is containerisation most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring containerisation are London, Sydney, Dublin, Pune, Singapore, according to the Skillenai jobs index.
+How can I keep up with new containerisation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning containerisation alongside the jobs index. You can subscribe to a daily email digest of new containerisation content from your Skillenai account.
+Which skills come before and after containerisation?
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 containerisation — last 90 days
Career paths around containerisation
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require containerisation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Security Platform Engineer | 3 | 9.1% |
| Full Stack AI Engineer | 3 | 7.3% |
| AI Enablement Engineer | 2 | 5.4% |
| C++ Developer | 1 | 4.8% |
| Quant Developer | 1 | 4.8% |
| Full Stack Software Developer | 2 | 4.0% |
| Simulation Software Engineer | 1 | 4.0% |
| AI Technical Lead | 1 | 3.7% |
| Azure DevOps Engineer | 1 | 3.7% |
| DevOps Architect | 1 | 3.1% |
Roles with the most containerisation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 80 | 24.2% |
| DevOps Engineer | 22 | 6.7% |
| Machine Learning Engineer | 14 | 4.2% |
| AI Engineer | 13 | 3.9% |
| Platform Engineer | 13 | 3.9% |
| Data Engineer | 11 | 3.3% |
| Solution Architect | 11 | 3.3% |
| Cloud Engineer | 6 | 1.8% |
| Site Reliability Engineer | 6 | 1.8% |
| Backend Engineer | 5 | 1.5% |
Top companies posting jobs requiring containerisation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Barclays | 25 |
| Netcompany | 18 |
| Northrop Grumman | 7 |
| Westpac | 6 |
| JPMorgan Chase & Co. | 6 |
| Sggovterp | 5 |
| Mastercard | 5 |
| Sopra Steria | 5 |
| CBA | 5 |
| ASOS | 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 containerisation
| Name | Postings | Share |
|---|---|---|
| London | 42 | 12.7% |
| Sydney | 12 | 3.6% |
| Dublin | 9 | 2.7% |
| Pune | 9 | 2.7% |
| Singapore | 8 | 2.4% |
| Melbourne | 6 | 1.8% |
| Bengaluru | 5 | 1.5% |
| Berlin | 5 | 1.5% |
| Glasgow | 5 | 1.5% |
Skills commonly paired with containerisation
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 2026-10-30. 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 containerisation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s containerisation postings by all containerisation 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: 0.1% to 0.1%. 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- 6e0e7dcfaa67a8bc
- data_as_of
- 2026-10-30
- window_days
- 90