fastlane jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, fastlane appears in 147 job postings indexed by Skillenai over the past 90 days — iOS Engineer has the most postings mentioning fastlane, with demand share down 15.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
147
Demand vs prior month
down 15.6% vs the prior 4 weeks
Top role · 29.3% of skill postings
Top hiring metro
Boston

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Frequently asked questions about fastlane

+Is fastlane in demand in 2026?

Yes. fastlane appears in 147 job postings indexed by Skillenai over the 90 days ending 2026-09-30. iOS Engineer accounts for the most postings mentioning fastlane (29.3% of all postings mentioning fastlane).

+What jobs require fastlane?

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 fastlane are iOS Engineer (14.9% of that role’s postings mention fastlane), Mobile Developer (6.8% of that role’s postings mention fastlane), Mobile Engineer (5.0% of that role’s postings mention fastlane).

+What skills are commonly paired with fastlane?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), fastlane most often appears alongside Swift, CI/CD, GitHub Actions, SwiftUI, Kotlin.

+Where is fastlane most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring fastlane are Boston, Charlotte, Sydney, Barcelona, Malvern, according to the Skillenai jobs index.

+How can I keep up with new fastlane content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning fastlane alongside the jobs index. You can subscribe to a daily email digest of new fastlane content from your Skillenai account.

+Which skills come before and after fastlane?

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 fastlane — last 90 days

Career paths around fastlane

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before fastlane

Before fastlaneJava → fastlane: 4 observed employer moves with this skill pairReact Native → fastlane: 3 observed employer moves with this skill pairSwift → fastlane: 3 observed employer moves with this skill pairGit → fastlane: 3 observed employer moves with this skill pairreact.js → fastlane: 3 observed employer moves with this skill pairci/cd → fastlane: 2 observed employer moves with this skill pairRedux → fastlane: 2 observed employer moves with this skill pairJest → fastlane: 2 observed employer moves with this skill pairfastlaneJava: 4 movesJava4 movesReact Native: 3 movesReact Native3 movesSwift: 3 movesSwift3 movesGit: 3 movesGit3 movesreact.js: 3 movesreact.js3 movesci/cd: 2 movesci/cd2 movesRedux: 2 movesRedux2 movesJest: 2 movesJest2 moves

Skills after fastlane

After fastlanefastlane → python: 2 observed employer moves with this skill pairfastlane → APIs: 2 observed employer moves with this skill pairfastlane → AWS: 2 observed employer moves with this skill pairfastlane → OpenTok: 1 observed employer moves with this skill pairfastlane → Helm charts: 1 observed employer moves with this skill pairfastlane → Elastic Beanstalk: 1 observed employer moves with this skill pairfastlane → Firestore: 1 observed employer moves with this skill pairfastlane → CircleCI: 1 observed employer moves with this skill pairfastlanepython: 2 movespython2 movesAPIs: 2 movesAPIs2 movesAWS: 2 movesAWS2 movesOpenTok: 1 movesOpenTok1 movesHelm charts: 1 movesHelm charts1 movesElastic Beanstalk: 1 movesElastic Beanstalk1 movesFirestore: 1 movesFirestore1 movesCircleCI: 1 movesCircleCI1 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: Java4
Before: React Native3
Before: Swift3
Before: Git3
Before: react.js3
Before: ci/cd2
Before: Redux2
Before: Jest2
After: python2
After: APIs2
After: AWS2
After: OpenTok1
After: Helm charts1
After: Elastic Beanstalk1
After: Firestore1
After: CircleCI1

Roles most likely to require fastlane

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

RolePostings mentioning skill% of role postings mentioning skill
iOS Engineer4314.9%
Mobile Developer116.8%
Mobile Engineer175.0%
React Native Engineer14.3%
iOS Software Engineer43.1%
Release Engineer13.0%
UI Engineer12.6%
Mobile Software Engineer11.3%
Android Engineer30.9%
Engineering Lead10.8%

Roles with the most fastlane postings

RolePostings mentioning skillShare of skill postings
iOS Engineer4329.3%
Mobile Engineer1711.6%
Software Engineer149.5%
Mobile Developer117.5%
DevOps Engineer74.8%
iOS Software Engineer42.7%
iOS Technical Lead42.7%
Android Engineer32.0%
Platform Engineer32.0%
Android Developer21.4%

Top companies posting jobs requiring fastlane

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

Top companies posting jobs requiring fastlane
CompanyPostings · 90 days
Vanguard11
Whoop11
Intel Carriers5
HouseCall Pro4
Stripe4
Nord Security4
Canva4
DKB Code Factory3
Midihealth2
Playbook2

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 fastlane

NamePostingsShare
Boston117.5%
Charlotte53.4%
Sydney53.4%
Barcelona42.7%
Malvern42.7%
Warsaw42.7%
Belo Horizonte32.0%
Lima32.0%
New York City32.0%

Skills commonly paired with fastlane

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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 fastlane by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s fastlane postings by all fastlane 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 2,595 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
8a26539547d95747
data_as_of
2026-09-30
window_days
90
Hiring engineers who use fastlane?

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