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

Postings · last 90 days
540
Demand vs prior month
down 3.9% vs the prior 4 weeks
Top role · 34.8% of skill postings
Top hiring metro
London

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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

Before clean architectureunit tests → clean architecture: 3 observed employer moves with this skill pairAgile → clean architecture: 2 observed employer moves with this skill pairGit → clean architecture: 2 observed employer moves with this skill pairJSON → clean architecture: 2 observed employer moves with this skill pairKotlin → clean architecture: 2 observed employer moves with this skill pairAndroid Studio → clean architecture: 2 observed employer moves with this skill pairRESTful APIs → clean architecture: 2 observed employer moves with this skill pairJira → clean architecture: 2 observed employer moves with this skill paircleanarchitectureunit tests: 3 movesunit tests3 movesAgile: 2 movesAgile2 movesGit: 2 movesGit2 movesJSON: 2 movesJSON2 movesKotlin: 2 movesKotlin2 movesAndroid Studio: 2 movesAndroid Studio2 movesRESTful APIs: 2 movesRESTful APIs2 movesJira: 2 movesJira2 moves

Skills after clean architecture

After clean architectureclean architecture → python: 1 observed employer moves with this skill pairclean architecture → MYSQL: 1 observed employer moves with this skill pairclean architecture → scripts: 1 observed employer moves with this skill pairclean architecture → NetworkExtension: 1 observed employer moves with this skill pairclean architecture → RDS: 1 observed employer moves with this skill pairclean architecture → Power BI: 1 observed employer moves with this skill pairclean architecture → Swift: 1 observed employer moves with this skill pairclean architecture → scalable DevOps: 1 observed employer moves with this skill paircleanarchitecturepython: 1 movespython1 movesMYSQL: 1 movesMYSQL1 movesscripts: 1 movesscripts1 movesNetworkExtension: 1 movesNetworkExtension1 movesRDS: 1 movesRDS1 movesPower BI: 1 movesPower BI1 movesSwift: 1 movesSwift1 movesscalable DevOps: 1 movesscalable DevOps1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: unit tests3
Before: Agile2
Before: Git2
Before: JSON2
Before: Kotlin2
Before: Android Studio2
Before: RESTful APIs2
Before: Jira2
After: python1
After: MYSQL1
After: scripts1
After: NetworkExtension1
After: RDS1
After: Power BI1
After: Swift1
After: scalable DevOps1

Roles most likely to require clean architecture

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Applied Software Engineer420.0%
Android Software Engineer2814.8%
Android Engineer4713.5%
Android Developer3011.5%
Mobile Software Engineer78.9%
React Developer28.0%
iOS Developer207.7%
iOS Engineer207.0%
Software Engineer, Backend14.2%
Mobile Engineer144.1%

Roles with the most clean architecture postings

RolePostings mentioning skillShare of skill postings
Software Engineer18834.8%
Android Engineer478.7%
Android Developer305.6%
Android Software Engineer285.2%
iOS Developer203.7%
iOS Engineer203.7%
Backend Engineer142.6%
Backend Software Engineer142.6%
Mobile Engineer142.6%
Engineering Manager91.7%

Top companies posting jobs requiring clean architecture

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring clean architecture
CompanyPostings · 90 days
Bjakcareer28
Grab28
CLERA11
Too Good To Go10
Tripadvisor9
Capco9
Mercado Libre8
BTG Pactual8
SpotOn8
Nord Security7

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

NamePostingsShare
London193.5%
San Francisco142.6%
Petaling Jaya132.4%
São Paulo112.0%
Berlin81.5%
Chicago81.5%
Pune81.5%
San Jose81.5%
Singapore81.5%

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
Hiring engineers who use clean architecture?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index