k8s jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, k8s appears in 167 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning k8s, with demand share down 8.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want k8s?
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Frequently asked questions about k8s
+Is k8s in demand in 2026?
Yes. k8s appears in 167 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning k8s (26.9% of all postings mentioning k8s).
+What jobs require k8s?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning k8s are AI Systems Architect (4.5% of that role’s postings mention k8s), DevOps Software Engineer (4.3% of that role’s postings mention k8s), Senior Data Scientist (3.7% of that role’s postings mention k8s).
+What skills are commonly paired with k8s?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), k8s most often appears alongside Python, Docker, Kubernetes, AWS, Java.
+Where is k8s most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring k8s are Amsterdam, New York City, Tel Aviv, San Francisco, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new k8s content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning k8s alongside the jobs index. You can subscribe to a daily email digest of new k8s content from your Skillenai account.
+Which skills come before and after k8s?
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 k8s — last 90 days
Career paths around k8s
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before k8s
Skills after k8s
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: python | 10 |
| Before: docker | 6 |
| Before: AWS | 5 |
| Before: Jenkins | 5 |
| Before: React | 4 |
| Before: kubernetes | 3 |
| Before: Git | 3 |
| Before: Go | 3 |
| After: terraform | 4 |
| After: python | 4 |
| After: AWS | 4 |
| After: Monitoring | 3 |
| After: ECS | 3 |
| After: Azure | 2 |
| After: EKS | 2 |
| After: Ansible | 2 |
Roles most likely to require k8s
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Systems Architect | 1 | 4.5% |
| DevOps Software Engineer | 1 | 4.3% |
| Senior Data Scientist | 1 | 3.7% |
| Research Software Engineer | 1 | 3.6% |
| ML Research Engineer | 1 | 2.6% |
| Database Reliability Engineer | 1 | 2.5% |
| Cloud DevOps Engineer | 2 | 2.4% |
| Fullstack Software Engineer | 2 | 2.2% |
| Infrastructure Security Engineer | 1 | 1.8% |
| Platform Architect | 2 | 1.3% |
Roles with the most k8s postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 45 | 26.9% |
| Machine Learning Engineer | 11 | 6.6% |
| Backend Engineer | 9 | 5.4% |
| DevOps Engineer | 9 | 5.4% |
| Engineering Manager | 6 | 3.6% |
| Data Engineer | 5 | 3.0% |
| Full Stack Engineer | 4 | 2.4% |
| HPC AI Cluster Engineer | 4 | 2.4% |
| Security Engineer | 4 | 2.4% |
| Site Reliability Engineer | 4 | 2.4% |
Top companies posting jobs requiring k8s
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Kyndryl | 11 |
| Adyen | 8 |
| NVIDIA | 7 |
| Cisco | 5 |
| CrowdStrike | 4 |
| Dexian | 3 |
| Dataiku | 3 |
| SeatGeek | 3 |
| Extreme Networks | 3 |
| Mistral | 3 |
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 k8s
| Name | Postings | Share |
|---|---|---|
| Amsterdam | 10 | 6.0% |
| New York City | 7 | 4.2% |
| Tel Aviv | 7 | 4.2% |
| San Francisco | 6 | 3.6% |
| Bengaluru | 5 | 3.0% |
| Pune | 5 | 3.0% |
| San Jose | 4 | 2.4% |
| Dublin | 3 | 1.8% |
| Hyderabad | 3 | 1.8% |
Skills commonly paired with k8s
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 2026-10-29. 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 k8s by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s k8s postings by all k8s 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
- 7148b04640908cfe
- data_as_of
- 2026-10-29
- window_days
- 90