audit trails jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-14, audit trails appears in 264 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning audit trails, with demand share up 9.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-14
Which roles want audit trails?
Upload your resume and Skillenai will show which roles your audit trails experience fits, which skills you already cover, and what is missing.
Prepare to discuss audit trails in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used audit trails.
Frequently asked questions about audit trails
+Is audit trails in demand in 2026?
Yes. audit trails appears in 264 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Software Engineer accounts for the most postings mentioning audit trails (15.5% of all postings mentioning audit trails).
+What jobs require audit trails?
According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning audit trails are AI Business Analyst (8.7% of that role’s postings mention audit trails), ML Platform Engineer (6.1% of that role’s postings mention audit trails), Engineering Leader (5.0% of that role’s postings mention audit trails).
+What skills are commonly paired with audit trails?
Across job postings indexed by Skillenai (90 days ending 2026-10-14), audit trails most often appears alongside Python, observability, CI/CD, AWS, SQL.
+Where is audit trails most in demand?
As of 2026-10-14, the metro areas posting the most jobs requiring audit trails are London, New York City, San Francisco, Toronto, Seattle, according to the Skillenai jobs index.
+How can I keep up with new audit trails content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning audit trails alongside the jobs index. You can subscribe to a daily email digest of new audit trails content from your Skillenai account.
+Which skills come before and after audit trails?
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 audit trails — last 90 days
Career paths around audit trails
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before audit trails
Skills after audit trails
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 | 4 |
| Before: sql | 3 |
| Before: Cloud Functions | 2 |
| Before: Pub/Sub | 2 |
| Before: GCP | 2 |
| Before: BigQuery | 2 |
| Before: DataFlow | 2 |
| Before: Tableau | 2 |
| After: python | 4 |
| After: RDS | 2 |
| After: AWS Lambda | 2 |
| After: pytorch | 2 |
| After: pandas | 2 |
| After: PostgreSQL | 2 |
| After: DynamoDB | 1 |
| After: spatial partitioning techniques | 1 |
Roles most likely to require audit trails
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Business Analyst | 2 | 8.7% |
| ML Platform Engineer | 3 | 6.1% |
| Engineering Leader | 1 | 5.0% |
| Power Platform Developer | 1 | 5.0% |
| Product Management Director | 1 | 4.0% |
| Commercial Product Manager | 1 | 3.6% |
| AI Operations Engineer | 1 | 3.1% |
| Data Analytics Consultant | 1 | 2.7% |
| FP&A Manager | 1 | 2.6% |
| Data Platform Architect | 1 | 2.6% |
Roles with the most audit trails postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 41 | 15.5% |
| Product Manager | 20 | 7.6% |
| AI Engineer | 9 | 3.4% |
| Security Engineer | 6 | 2.3% |
| AI Governance & Regulatory Risk Expert | 5 | 1.9% |
| Forward Deployed Engineer | 5 | 1.9% |
| Solution Architect | 5 | 1.9% |
| AI Platform Engineer | 4 | 1.5% |
| Engineering Manager | 4 | 1.5% |
| Infrastructure Engineer | 4 | 1.5% |
Top companies posting jobs requiring audit trails
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Wise | 17 |
| Capco | 11 |
| OpenAI | 5 |
| Stripe | 5 |
| Rimini Street | 3 |
| Wonderschool | 3 |
| Anthropic | 3 |
| Pleo | 3 |
| Talan | 3 |
| Accenture Federal Services | 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 audit trails
| Name | Postings | Share |
|---|---|---|
| London | 22 | 8.3% |
| New York City | 22 | 8.3% |
| San Francisco | 17 | 6.4% |
| Toronto | 9 | 3.4% |
| Seattle | 8 | 3.0% |
| Tallinn | 7 | 2.7% |
| Bengaluru | 4 | 1.5% |
| Berlin | 4 | 1.5% |
| Hyderabad | 4 | 1.5% |
Skills commonly paired with audit trails
Get a daily email digest of new audit trails content
Skillenai indexes news articles, blog posts, and research papers that mention audit trails. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 audit trails by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s audit trails postings by all audit trails 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
- 5a95afb870fb4451
- data_as_of
- 2026-10-14
- 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.
Skillenai for recruiters →