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

As of 2026-09-30, Maven appears in 1,177 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Maven, with demand share down 0.7% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
1,177
Demand vs prior month
down 0.7% vs the prior 4 weeks
Top role · 40.1% of skill postings
Top hiring metro
Pune

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Frequently asked questions about Maven

+Is Maven in demand in 2026?

Yes. Maven appears in 1,177 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Maven (40.1% of all postings mentioning Maven).

+What jobs require Maven?

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 Maven are AI Applied Software Engineer (50.0% of that role’s postings mention Maven), Java Developer (24.5% of that role’s postings mention Maven), Java Backend Developer (23.7% of that role’s postings mention Maven).

+What skills are commonly paired with Maven?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Maven most often appears alongside Java, Git, Jenkins, CI/CD, Docker.

+Where is Maven most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Maven are Pune, Bengaluru, Annapolis, Hyderabad, Bucharest, according to the Skillenai jobs index.

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

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

+Which skills come before and after Maven?

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 Maven — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Maven

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Maven

Before MavenJava → Maven: 90 observed employer moves with this skill pairJenkins → Maven: 66 observed employer moves with this skill pairsql → Maven: 56 observed employer moves with this skill pairJira → Maven: 48 observed employer moves with this skill pairGit → Maven: 45 observed employer moves with this skill pairpython → Maven: 44 observed employer moves with this skill pairdocker → Maven: 42 observed employer moves with this skill pairJavaScript → Maven: 38 observed employer moves with this skill pairMavenJava: 90 movesJava90 movesJenkins: 66 movesJenkins66 movessql: 56 movessql56 movesJira: 48 movesJira48 movesGit: 45 movesGit45 movespython: 44 movespython44 movesdocker: 42 movesdocker42 movesJavaScript: 38 movesJavaScript38 moves

Skills after Maven

After MavenMaven → kubernetes: 67 observed employer moves with this skill pairMaven → docker: 56 observed employer moves with this skill pairMaven → Jenkins: 54 observed employer moves with this skill pairMaven → python: 53 observed employer moves with this skill pairMaven → AWS: 52 observed employer moves with this skill pairMaven → terraform: 48 observed employer moves with this skill pairMaven → Java: 44 observed employer moves with this skill pairMaven → Git: 40 observed employer moves with this skill pairMavenkubernetes: 67 moveskubernetes67 movesdocker: 56 movesdocker56 movesJenkins: 54 movesJenkins54 movespython: 53 movespython53 movesAWS: 52 movesAWS52 movesterraform: 48 movesterraform48 movesJava: 44 movesJava44 movesGit: 40 movesGit40 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: Java90
Before: Jenkins66
Before: sql56
Before: Jira48
Before: Git45
Before: python44
Before: docker42
Before: JavaScript38
After: kubernetes67
After: docker56
After: Jenkins54
After: python53
After: AWS52
After: terraform48
After: Java44
After: Git40

Roles most likely to require Maven

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

RolePostings mentioning skill% of role postings mentioning skill
AI Applied Software Engineer1050.0%
Java Developer5924.5%
Java Backend Developer923.7%
Full Stack Java Developer416.7%
SDET Engineer315.0%
Java Engineer613.6%
Java Software Engineer1013.0%
Java Backend Engineer412.9%
Test Automation Lead310.3%
Automation Test Engineer79.9%

Roles with the most Maven postings

RolePostings mentioning skillShare of skill postings
Software Engineer47240.1%
DevOps Engineer716.0%
Java Developer595.0%
QA Automation Engineer272.3%
Backend Engineer232.0%
Full Stack Engineer211.8%
Test Automation Engineer171.4%
Backend Developer161.4%
Full Stack Developer161.4%
Engineering Manager131.1%

Top companies posting jobs requiring Maven

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

Top companies posting jobs requiring Maven
CompanyPostings · 90 days
Barclays33
Mastercard26
Eurofins21
Northrop Grumman19
Capco17
Jetbrains14
General Dynamics Information Technology14
Allianz13
Workatbackbase13
Sopra Steria13

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 Maven

NamePostingsShare
Pune695.9%
Bengaluru433.7%
Annapolis191.6%
Hyderabad191.6%
Bucharest161.4%
Atlanta151.3%
London131.1%
Singapore131.1%
Topeka131.1%

Skills commonly paired with Maven

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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 Maven by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Maven postings by all Maven 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: 0.5% to 0.5%. 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 2,596 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
98b254b07295bbf9
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Maven?

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