network segmentation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, network segmentation appears in 704 job postings indexed by Skillenai over the past 90 days — Security Engineer has the most postings mentioning network segmentation, with demand share up 21.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want network segmentation?
Upload your resume and Skillenai will show which roles your network segmentation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about network segmentation
+Is network segmentation in demand in 2026?
Yes. network segmentation appears in 704 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Security Engineer accounts for the most postings mentioning network segmentation (12.1% of all postings mentioning network segmentation).
+What jobs require network segmentation?
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 network segmentation are Network Security Architect (28.6% of that role’s postings mention network segmentation), Network Security Engineer (25.3% of that role’s postings mention network segmentation), Network Infrastructure Engineer (23.8% of that role’s postings mention network segmentation).
+What skills are commonly paired with network segmentation?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), network segmentation most often appears alongside firewalls, AWS, routing, Zero Trust, CI/CD.
+Where is network segmentation most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring network segmentation are New York City, San Francisco, Bengaluru, Los Angeles, Washington, according to the Skillenai jobs index.
+How can I keep up with new network segmentation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning network segmentation alongside the jobs index. You can subscribe to a daily email digest of new network segmentation content from your Skillenai account.
+Which skills come before and after network segmentation?
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 network segmentation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around network segmentation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before network segmentation
Skills after network segmentation
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: PCI | 2 |
| Before: Firewalls | 2 |
| Before: AWS | 2 |
| Before: VLAN segmentation | 2 |
| Before: VPNs | 2 |
| Before: Azure Functions | 2 |
| Before: terraform | 2 |
| Before: AntiVirus | 2 |
| After: VPC | 2 |
| After: PowerShell | 2 |
| After: networking | 2 |
| After: S3 | 2 |
| After: terraform | 2 |
| After: CI/CD pipelines | 2 |
| After: recovery | 2 |
| After: on-prem servers | 1 |
Roles most likely to require network segmentation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Network Security Architect | 6 | 28.6% |
| Network Security Engineer | 48 | 25.3% |
| Network Infrastructure Engineer | 5 | 23.8% |
| Technical Marketing Engineer | 5 | 21.7% |
| Cloud Network Engineer | 4 | 19.0% |
| Cybersecurity Advisor | 4 | 14.3% |
| Enterprise Security Engineer | 3 | 14.3% |
| Information Security Intern | 4 | 12.9% |
| Network Architect | 18 | 12.7% |
| Information Security Architect | 3 | 12.5% |
Roles with the most network segmentation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Security Engineer | 85 | 12.1% |
| Network Security Engineer | 48 | 6.8% |
| Cybersecurity Engineer | 29 | 4.1% |
| Security Architect | 27 | 3.8% |
| Network Engineer | 23 | 3.3% |
| Network Architect | 18 | 2.6% |
| Solutions Architect | 15 | 2.1% |
| Cloud Security Engineer | 13 | 1.8% |
| Cloud Engineer | 12 | 1.7% |
| Infrastructure Engineer | 12 | 1.7% |
Top companies posting jobs requiring network segmentation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| SpaceX | 13 |
| Anduril Industries | 11 |
| Kyndryl | 7 |
| Coreweave | 7 |
| TEKsystems | 7 |
| State Street | 7 |
| Bah | 7 |
| Leidos | 6 |
| Shieldapp | 6 |
| Tailscale | 6 |
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 network segmentation
| Name | Postings | Share |
|---|---|---|
| New York City | 31 | 4.4% |
| San Francisco | 17 | 2.4% |
| Bengaluru | 13 | 1.8% |
| Los Angeles | 12 | 1.7% |
| Washington | 10 | 1.4% |
| Dallas | 9 | 1.3% |
| London | 8 | 1.1% |
| Reston | 8 | 1.1% |
| San Jose | 7 | 1.0% |
Skills commonly paired with network segmentation
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 network segmentation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s network segmentation postings by all network segmentation 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 0.3%. 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
- 0c7fd88cce02b8c2
- data_as_of
- 2026-11-05
- window_days
- 90