Detection engineering jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Detection engineering appears in 501 job postings indexed by Skillenai over the past 90 days — Security Engineer has the most postings mentioning Detection engineering, with demand share up 16.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Detection engineering
+Is Detection engineering in demand in 2026?
Yes. Detection engineering appears in 501 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Security Engineer accounts for the most postings mentioning Detection engineering (28.1% of all postings mentioning Detection engineering).
+What jobs require Detection engineering?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Detection engineering are Security Operations Analyst (57.1% of that role’s postings mention Detection engineering), Detection Engineer (39.3% of that role’s postings mention Detection engineering), AI Security Researcher (19.0% of that role’s postings mention Detection engineering).
+What skills are commonly paired with Detection engineering?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Detection engineering most often appears alongside incident response, SIEM, Threat hunting, Python, EDR.
+Where is Detection engineering most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Detection engineering are New York City, San Francisco, London, Austin, Sydney, according to the Skillenai jobs index.
+How can I keep up with new Detection engineering content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Detection engineering alongside the jobs index. You can subscribe to a daily email digest of new Detection engineering content from your Skillenai account.
+Which skills come before and after Detection engineering?
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 Detection engineering — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Detection engineering
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Detection engineering
Skills after Detection engineering
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: Network Infrastructure | 1 |
| Before: Data Science | 1 |
| Before: enumeration | 1 |
| Before: signature writing | 1 |
| Before: Remote Docker Hosts | 1 |
| Before: Nessus | 1 |
| Before: content plugins | 1 |
| Before: global detection | 1 |
| After: best practices | 1 |
| After: Decoding strategy improvements | 1 |
| After: security posture | 1 |
| After: security policies | 1 |
| After: risk assessments | 1 |
| After: cybersecurity infrastructure | 1 |
| After: regulatory standards | 1 |
| After: incident response | 1 |
Roles most likely to require Detection engineering
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Security Operations Analyst | 12 | 57.1% |
| Detection Engineer | 11 | 39.3% |
| AI Security Researcher | 4 | 19.0% |
| Corporate Security Engineer | 3 | 15.0% |
| Security Solutions Architect | 3 | 13.6% |
| SOC Analyst | 3 | 11.5% |
| Security Platform Engineer | 3 | 11.5% |
| Information Security Director | 3 | 7.5% |
| Security Research Engineer | 4 | 7.1% |
| Security Engineer | 141 | 6.8% |
Roles with the most Detection engineering postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Security Engineer | 141 | 28.1% |
| Product Manager | 20 | 4.0% |
| Cybersecurity Engineer | 16 | 3.2% |
| Information Security Engineer | 15 | 3.0% |
| Security Analyst | 12 | 2.4% |
| Security Operations Analyst | 12 | 2.4% |
| Detection Engineer | 11 | 2.2% |
| Software Engineer | 9 | 1.8% |
| Engineering Manager | 8 | 1.6% |
| Threat Hunter | 8 | 1.6% |
Top companies posting jobs requiring Detection engineering
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Writer | 11 |
| Elastic | 11 |
| Scale AI | 8 |
| Anduril Industries | 8 |
| SimSpace | 8 |
| Cisco | 8 |
| Stripe | 7 |
| SentinelOne | 7 |
| CrowdStrike | 7 |
| Gitlab | 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 Detection engineering
| Name | Postings | Share |
|---|---|---|
| New York City | 21 | 4.2% |
| San Francisco | 20 | 4.0% |
| London | 18 | 3.6% |
| Austin | 10 | 2.0% |
| Sydney | 9 | 1.8% |
| Seattle | 8 | 1.6% |
| Toronto | 8 | 1.6% |
| Bengaluru | 7 | 1.4% |
| Boston | 7 | 1.4% |
Skills commonly paired with Detection engineering
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 Detection engineering by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Detection engineering postings by all Detection engineering 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 0.2%. 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- a32ccb0557fb5051
- data_as_of
- 2026-09-30
- 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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