static code analysis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-27, static code analysis appears in 206 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning static code analysis, with demand share up 1.5% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-27
Which roles want static code analysis?
Upload your resume and Skillenai will show which roles your static code analysis experience fits, which skills you already cover, and what is missing.
Frequently asked questions about static code analysis
+Is static code analysis in demand in 2026?
Yes. static code analysis appears in 206 job postings indexed by Skillenai over the 90 days ending 2026-10-27. Software Engineer accounts for the most postings mentioning static code analysis (30.1% of all postings mentioning static code analysis).
+What jobs require static code analysis?
According to the Skillenai jobs index over the 90 days ending 2026-10-27, among roles with at least 20 postings, the highest shares mentioning static code analysis are Cybersecurity Systems Engineer (20.0% of that role’s postings mention static code analysis), Platform Security Engineer (11.5% of that role’s postings mention static code analysis), Cybersecurity Lead (10.0% of that role’s postings mention static code analysis).
+What skills are commonly paired with static code analysis?
Across job postings indexed by Skillenai (90 days ending 2026-10-27), static code analysis most often appears alongside Python, C++, Linux, Git, CI/CD.
+Where is static code analysis most in demand?
As of 2026-10-27, the metro areas posting the most jobs requiring static code analysis are McKinney, Bengaluru, El Segundo, Lisbon, Huntsville, according to the Skillenai jobs index.
+How can I keep up with new static code analysis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning static code analysis alongside the jobs index. You can subscribe to a daily email digest of new static code analysis content from your Skillenai account.
+Which skills come before and after static code analysis?
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 static code analysis — last 90 days
Career paths around static code analysis
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before static code analysis
Skills after static code analysis
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: C++ | 3 |
| Before: ci/cd | 2 |
| Before: Windows | 2 |
| Before: Python Scripts | 2 |
| Before: sql | 2 |
| Before: MVC | 2 |
| Before: energy management system | 1 |
| Before: penetration tests | 1 |
| After: EC2 | 3 |
| After: S3 | 3 |
| After: Java | 2 |
| After: terraform | 2 |
| After: RDS | 2 |
| After: CloudFormation | 2 |
| After: Microservices | 2 |
| After: React | 2 |
Roles most likely to require static code analysis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Cybersecurity Systems Engineer | 4 | 20.0% |
| Platform Security Engineer | 6 | 11.5% |
| Cybersecurity Lead | 2 | 10.0% |
| Offensive Security Engineer | 5 | 7.2% |
| Application Security Analyst | 1 | 4.2% |
| Computer Scientist | 1 | 4.2% |
| Product Architect | 1 | 3.7% |
| DevOps Architect | 1 | 3.6% |
| Software Development Test Engineer | 1 | 3.4% |
| Security Research Engineer | 2 | 3.4% |
Roles with the most static code analysis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 62 | 30.1% |
| DevOps Engineer | 13 | 6.3% |
| Embedded Software Engineer | 13 | 6.3% |
| Product Security Engineer | 9 | 4.4% |
| Application Security Engineer | 8 | 3.9% |
| Platform Security Engineer | 6 | 2.9% |
| Security Engineer | 6 | 2.9% |
| Offensive Security Engineer | 5 | 2.4% |
| Cybersecurity Systems Engineer | 4 | 1.9% |
| Software Developer | 4 | 1.9% |
Top companies posting jobs requiring static code analysis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Northrop Grumman | 23 |
| Globalpr | 12 |
| ClickHouse | 11 |
| Thought Machine | 6 |
| GlobaliD | 6 |
| Diconium Data | 5 |
| Bosch | 5 |
| PAE | 4 |
| Mistral | 4 |
| TEKsystems | 4 |
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 static code analysis
| Name | Postings | Share |
|---|---|---|
| McKinney | 9 | 4.4% |
| Bengaluru | 6 | 2.9% |
| El Segundo | 6 | 2.9% |
| Lisbon | 6 | 2.9% |
| Huntsville | 5 | 2.4% |
| Annapolis | 4 | 1.9% |
| Aurora | 4 | 1.9% |
| Dahlgren | 4 | 1.9% |
| Paris | 4 | 1.9% |
Skills commonly paired with static code analysis
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-27. 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 static code analysis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s static code analysis postings by all static code analysis 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 2,483 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
- 18389baf1e4f311b
- data_as_of
- 2026-10-27
- window_days
- 90