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

As of 2026-09-30, Temporal appears in 745 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Temporal, with demand share down 2.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
745
Demand vs prior month
down 2.9% vs the prior 4 weeks
Top role · 41.1% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about Temporal

+Is Temporal in demand in 2026?

Yes. Temporal appears in 745 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Temporal (41.1% of all postings mentioning Temporal).

+What jobs require Temporal?

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 Temporal are AI Ops Engineer (13.0% of that role’s postings mention Temporal), DevOps Manager (10.3% of that role’s postings mention Temporal), People Analytics Manager (10.3% of that role’s postings mention Temporal).

+What skills are commonly paired with Temporal?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Temporal most often appears alongside Python, Kubernetes, AWS, TypeScript, Go.

+Where is Temporal most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Temporal are San Francisco, New York City, London, Bengaluru, Toronto, according to the Skillenai jobs index.

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

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

+Which skills come before and after Temporal?

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 Temporal — last 90 days

Salary distribution

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

Career paths around Temporal

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Temporal

Before Temporalconcurrency → Temporal: 1 observed employer moves with this skill pairC# → Temporal: 1 observed employer moves with this skill pairAzure DevOps → Temporal: 1 observed employer moves with this skill pairpython → Temporal: 1 observed employer moves with this skill pairVueJS → Temporal: 1 observed employer moves with this skill pairpattern matching → Temporal: 1 observed employer moves with this skill pairSpring Boot → Temporal: 1 observed employer moves with this skill pairgenetic data → Temporal: 1 observed employer moves with this skill pairTemporalconcurrency: 1 movesconcurrency1 movesC#: 1 movesC#1 movesAzure DevOps: 1 movesAzure DevOps1 movespython: 1 movespython1 movesVueJS: 1 movesVueJS1 movespattern matching: 1 movespattern matching1 movesSpring Boot: 1 movesSpring Boot1 movesgenetic data: 1 movesgenetic data1 moves

Skills after Temporal

After TemporalTemporal → python: 1 observed employer moves with this skill pairTemporalpython: 1 movespython1 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: concurrency1
Before: C#1
Before: Azure DevOps1
Before: python1
Before: VueJS1
Before: pattern matching1
Before: Spring Boot1
Before: genetic data1
After: python1

Roles most likely to require Temporal

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

RolePostings mentioning skill% of role postings mentioning skill
AI Ops Engineer313.0%
DevOps Manager310.3%
People Analytics Manager310.3%
ML Platform Engineer48.5%
Engineering Team Lead28.0%
Applied Research Engineer27.7%
Fullstack Software Engineer85.9%
Production Engineer35.9%
Developer Advocate35.7%
Quality Automation Engineer14.8%

Roles with the most Temporal postings

RolePostings mentioning skillShare of skill postings
Software Engineer30641.1%
Engineering Manager486.4%
Backend Engineer476.3%
AI Engineer192.6%
Platform Engineer182.4%
Full Stack Engineer172.3%
Product Engineer131.7%
Data Engineer121.6%
Software Engineering Manager121.6%
Site Reliability Engineer101.3%

Top companies posting jobs requiring Temporal

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

Top companies posting jobs requiring Temporal
CompanyPostings · 90 days
Scale AI19
Temporaltechnologies16
CLERA16
Temporal12
Vinted12
Together AI12
Stripe11
Grab11
Skydio10
Acquia10

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 Temporal

NamePostingsShare
San Francisco9112.2%
New York City638.5%
London223.0%
Bengaluru182.4%
Toronto172.3%
San Mateo162.1%
Seattle131.7%
Amsterdam111.5%
San Jose111.5%

Skills commonly paired with Temporal

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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 Temporal by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Temporal postings by all Temporal 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: 0.3% to 0.3%. 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
b4021e1318ed6075
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Temporal?

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