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

As of 2026-09-30, error budgets appears in 529 job postings indexed by Skillenai over the past 90 days — Site Reliability Engineer has the most postings mentioning error budgets, with demand share down 0.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
529
Demand vs prior month
down 0.6% vs the prior 4 weeks
Top role · 46.1% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about error budgets

+Is error budgets in demand in 2026?

Yes. error budgets appears in 529 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Site Reliability Engineer accounts for the most postings mentioning error budgets (46.1% of all postings mentioning error budgets).

+What jobs require error budgets?

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 error budgets are SRE Engineer (16.0% of that role’s postings mention error budgets), Site Reliability Engineering Manager (13.7% of that role’s postings mention error budgets), Site Reliability Engineer (11.4% of that role’s postings mention error budgets).

+What skills are commonly paired with error budgets?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), error budgets most often appears alongside SLOs, observability, SLIs, Kubernetes, Site Reliability Engineering (SRE).

+Where is error budgets most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring error budgets are Bengaluru, New York City, Berlin, San Francisco, Santa Clara, according to the Skillenai jobs index.

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

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

+Which skills come before and after error budgets?

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 error budgets — last 90 days

Salary distribution

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

Career paths around error budgets

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before error budgets

No published incoming skill pairs yet.

Skills after error budgets

After error budgetserror budgets → SOC 2: 1 observed employer moves with this skill pairerror budgets → scikit-learn: 1 observed employer moves with this skill pairerror budgets → Kubernetes-based orchestration: 1 observed employer moves with this skill pairerror budgets → OpenShift: 1 observed employer moves with this skill pairerror budgets → SAST: 1 observed employer moves with this skill pairerror budgets → SEC: 1 observed employer moves with this skill pairerror budgets → Grafana: 1 observed employer moves with this skill pairerror budgets → FINRA: 1 observed employer moves with this skill pairerror budgetsSOC 2: 1 movesSOC 21 movesscikit-learn: 1 movesscikit-learn1 movesKubernetes-based orchestration: 1 movesKubernetes-basedorchestration1 movesOpenShift: 1 movesOpenShift1 movesSAST: 1 movesSAST1 movesSEC: 1 movesSEC1 movesGrafana: 1 movesGrafana1 movesFINRA: 1 movesFINRA1 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
After: SOC 21
After: scikit-learn1
After: Kubernetes-based orchestration1
After: OpenShift1
After: SAST1
After: SEC1
After: Grafana1
After: FINRA1

Roles most likely to require error budgets

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

RolePostings mentioning skill% of role postings mentioning skill
SRE Engineer416.0%
Site Reliability Engineering Manager713.7%
Site Reliability Engineer24411.4%
Platform Engineering Director210.0%
Site Reliability Engineer (SRE)129.2%
Observability Engineer26.9%
CloudOps Engineer26.2%
Release Engineer26.1%
Platform Engineering Manager25.3%
Java Software Engineer45.2%

Roles with the most error budgets postings

RolePostings mentioning skillShare of skill postings
Site Reliability Engineer24446.1%
Software Engineer499.3%
Engineering Manager224.2%
Platform Engineer122.3%
Site Reliability Engineer (SRE)122.3%
Infrastructure Engineer112.1%
DevOps Engineer101.9%
Full Stack Engineer71.3%
Platform Software Engineer71.3%
Site Reliability Engineering Manager71.3%

Top companies posting jobs requiring error budgets

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

Top companies posting jobs requiring error budgets
CompanyPostings · 90 days
Doctolib18
NVIDIA9
Veeam8
Oracle8
Grafana Labs8
Cisco8
IFS8
Coreweave7
Uvmhealth7
FIS6

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 error budgets

NamePostingsShare
Bengaluru305.7%
New York City214.0%
Berlin163.0%
San Francisco122.3%
Santa Clara101.9%
Hyderabad91.7%
London91.7%
Paris91.7%
Pune91.7%

Skills commonly paired with error budgets

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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 error budgets by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s error budgets postings by all error budgets 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: 0.2% to 0.2%. 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
84937be7c3578b12
data_as_of
2026-09-30
window_days
90
Hiring engineers who use error budgets?

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