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

As of 2026-09-28, reliability appears in 1,436 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning reliability, with demand down 47% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,436
Demand vs prior month
down 47% vs the prior 4 weeks
Top role · 26.9% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about reliability

+Is reliability in demand in 2026?

Yes. reliability appears in 1,436 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 47% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning reliability (26.9% of all postings mentioning reliability).

+What jobs require reliability?

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 reliability are Deployment Strategist (39.0% of that role’s postings mention reliability), Hardware Engineering Manager (19.0% of that role’s postings mention reliability), Hardware Product Manager (15.0% of that role’s postings mention reliability).

+What skills are commonly paired with reliability?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), reliability most often appears alongside scalability, observability, security, Python, Distributed systems.

+Where is reliability most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring reliability are San Francisco, New York City, London, Bengaluru, Tel Aviv, according to the Skillenai jobs index.

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

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

Weekly job postings requiring reliability — last 90 days

Salary distribution

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

Roles most likely to require reliability

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

RolePostings mentioning skill% of role postings mentioning skill
Deployment Strategist2339.0%
Hardware Engineering Manager419.0%
Hardware Product Manager315.0%
VP of Engineering514.3%
Frontier Agents Engineer29.1%
AI Platform Architect28.7%
Mission Software Engineer58.6%
Head of Engineering107.2%
Engineering Director136.3%
Product Architect26.2%

Roles with the most reliability postings

RolePostings mentioning skillShare of skill postings
Software Engineer38726.9%
Engineering Manager1258.7%
Product Manager916.3%
Backend Engineer342.4%
Solutions Architect292.0%
Full Stack Engineer271.9%
Backend Software Engineer241.7%
Deployment Strategist231.6%
Software Engineering Manager231.6%
Technical Product Manager231.6%

Top metros hiring for reliability

NamePostingsShare
San Francisco815.6%
New York City775.4%
London604.2%
Bengaluru392.7%
Tel Aviv322.2%
Seattle312.2%
El Segundo281.9%
Berlin261.8%
Boston261.8%

Skills commonly paired with reliability

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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 reliability by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s reliability postings by all reliability 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
233947f93be4b089
data_as_of
2026-09-28
window_days
90
Hiring engineers who use reliability?

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