clean architecture jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, clean architecture appears in 540 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning clean architecture, with demand share down 3.9% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about clean architecture
+Is clean architecture in demand in 2026?
Yes. clean architecture appears in 540 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning clean architecture (34.8% of all postings mentioning clean architecture).
+What jobs require clean architecture?
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 clean architecture are AI Applied Software Engineer (20.0% of that role’s postings mention clean architecture), Android Software Engineer (14.8% of that role’s postings mention clean architecture), Android Engineer (13.5% of that role’s postings mention clean architecture).
+What skills are commonly paired with clean architecture?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), clean architecture most often appears alongside MVVM, Kotlin, CI/CD, Java, Jetpack Compose.
+Where is clean architecture most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring clean architecture are London, San Francisco, Petaling Jaya, São Paulo, Berlin, according to the Skillenai jobs index.
+How can I keep up with new clean architecture content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning clean architecture alongside the jobs index. You can subscribe to a daily email digest of new clean architecture content from your Skillenai account.
+Which skills come before and after clean architecture?
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 clean architecture — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around clean architecture
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before clean architecture
Skills after clean architecture
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: unit tests | 3 |
| Before: Agile | 2 |
| Before: Git | 2 |
| Before: JSON | 2 |
| Before: Kotlin | 2 |
| Before: Android Studio | 2 |
| Before: RESTful APIs | 2 |
| Before: Jira | 2 |
| After: python | 1 |
| After: MYSQL | 1 |
| After: scripts | 1 |
| After: NetworkExtension | 1 |
| After: RDS | 1 |
| After: Power BI | 1 |
| After: Swift | 1 |
| After: scalable DevOps | 1 |
Roles most likely to require clean architecture
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Applied Software Engineer | 4 | 20.0% |
| Android Software Engineer | 28 | 14.8% |
| Android Engineer | 47 | 13.5% |
| Android Developer | 30 | 11.5% |
| Mobile Software Engineer | 7 | 8.9% |
| React Developer | 2 | 8.0% |
| iOS Developer | 20 | 7.7% |
| iOS Engineer | 20 | 7.0% |
| Software Engineer, Backend | 1 | 4.2% |
| Mobile Engineer | 14 | 4.1% |
Roles with the most clean architecture postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 188 | 34.8% |
| Android Engineer | 47 | 8.7% |
| Android Developer | 30 | 5.6% |
| Android Software Engineer | 28 | 5.2% |
| iOS Developer | 20 | 3.7% |
| iOS Engineer | 20 | 3.7% |
| Backend Engineer | 14 | 2.6% |
| Backend Software Engineer | 14 | 2.6% |
| Mobile Engineer | 14 | 2.6% |
| Engineering Manager | 9 | 1.7% |
Top companies posting jobs requiring clean architecture
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 28 |
| Grab | 28 |
| CLERA | 11 |
| Too Good To Go | 10 |
| Tripadvisor | 9 |
| Capco | 9 |
| Mercado Libre | 8 |
| BTG Pactual | 8 |
| SpotOn | 8 |
| Nord Security | 7 |
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 clean architecture
| Name | Postings | Share |
|---|---|---|
| London | 19 | 3.5% |
| San Francisco | 14 | 2.6% |
| Petaling Jaya | 13 | 2.4% |
| São Paulo | 11 | 2.0% |
| Berlin | 8 | 1.5% |
| Chicago | 8 | 1.5% |
| Pune | 8 | 1.5% |
| San Jose | 8 | 1.5% |
| Singapore | 8 | 1.5% |
Skills commonly paired with clean architecture
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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 clean architecture by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s clean architecture postings by all clean architecture 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: 0.3% 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
- 939799391b0ef564
- 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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