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

As of 2026-09-28, Code quality appears in 630 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Code quality, with demand down 24% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
630
Demand vs prior month
down 24% vs the prior 4 weeks
Top role · 30.2% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about Code quality

+Is Code quality in demand in 2026?

Yes. Code quality appears in 630 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 24% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning Code quality (30.2% of all postings mentioning Code quality).

+What jobs require Code quality?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Code quality are Embedded Software Architect (21.7% of that role’s postings mention Code quality), Head of Engineering (12.3% of that role’s postings mention Code quality), Deep Learning Engineer (12.1% of that role’s postings mention Code quality).

+What skills are commonly paired with Code quality?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Code quality most often appears alongside testing, Distributed systems, Python, observability, TypeScript.

+Where is Code quality most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring Code quality are San Francisco, New York City, Paris, London, Singapore, according to the Skillenai jobs index.

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

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

Weekly job postings requiring Code quality — last 90 days

Salary distribution

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

Roles most likely to require Code quality

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

RolePostings mentioning skill% of role postings mentioning skill
Embedded Software Architect521.7%
Head of Engineering1712.3%
Deep Learning Engineer412.1%
VP of Engineering25.7%
Front End Software Engineer25.4%
Front-End Software Engineer25.3%
Machine Learning Engineering Manager35.1%
Applied ML Engineer14.8%
React Native Developer14.8%
Founding AI Engineer14.5%

Roles with the most Code quality postings

RolePostings mentioning skillShare of skill postings
Software Engineer19030.2%
Engineering Manager11618.4%
Software Engineering Manager233.7%
Head of Engineering172.7%
Backend Engineer142.2%
Full Stack Engineer101.6%
Data Engineer91.4%
AI Software Engineer81.3%
Director of Engineering81.3%
Frontend Engineer81.3%

Top metros hiring for Code quality

NamePostingsShare
San Francisco416.5%
New York City365.7%
Paris132.1%
London121.9%
Singapore111.7%
Bengaluru101.6%
Toronto101.6%
Stockholm91.4%
Pune81.3%

Skills commonly paired with Code quality

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 Code quality by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Code quality postings by all Code quality 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).

source
Skillenai jobs index, deduplicated daily
entity_id
dfcd76ffb3298f5e
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Code quality?

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