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

As of 2026-09-28, observability appears in 13,575 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning observability, with demand down 42% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
13,575
Demand vs prior month
down 42% vs the prior 4 weeks
Top role · 29.1% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about observability

+Is observability in demand in 2026?

Yes. observability appears in 13,575 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 42% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning observability (29.1% of all postings mentioning observability).

+What jobs require observability?

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 observability are Platform Engineering Director (65.0% of that role’s postings mention observability), ML Platform Engineer (48.9% of that role’s postings mention observability), Mission Software Engineer (46.6% of that role’s postings mention observability).

+What skills are commonly paired with observability?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), observability most often appears alongside Python, CI/CD, Kubernetes, AWS, Distributed systems.

+Where is observability most in demand?

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

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

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

Weekly job postings requiring observability — last 90 days

Salary distribution

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

Roles most likely to require observability

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

RolePostings mentioning skill% of role postings mentioning skill
Platform Engineering Director1365.0%
ML Platform Engineer2348.9%
Mission Software Engineer2746.6%
Lead Engineer3143.1%
Site Reliability Engineering Manager2141.2%
Forward Deployment Engineer1641.0%
Platform Engineering Manager1640.0%
Site Reliability Engineer (SRE)4938.9%
AI Backend Engineer838.1%
Engineering Team Lead838.1%

Roles with the most observability postings

RolePostings mentioning skillShare of skill postings
Software Engineer3,94529.1%
Site Reliability Engineer7005.2%
Engineering Manager6795.0%
Backend Engineer4373.2%
AI Engineer4113.0%
DevOps Engineer4053.0%
Platform Engineer3682.7%
Data Engineer3012.2%
Product Manager3002.2%
Machine Learning Engineer1521.1%

Top metros hiring for observability

NamePostingsShare
San Francisco7765.7%
New York City5964.4%
London4283.2%
Bengaluru3232.4%
Toronto2141.6%
Berlin1901.4%
Seattle1811.3%
Singapore1651.2%
Boston1641.2%

Skills commonly paired with observability

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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 observability by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s observability postings by all observability 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
ddb3a196c3451ac8
data_as_of
2026-09-28
window_days
90
Hiring engineers who use observability?

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