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

As of 2026-10-01, Go appears in 12,654 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Go, with demand share up 1.7% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-01

Postings · last 90 days
12,654
Demand vs prior month
up 1.7% vs the prior 4 weeks
Top role · 41.4% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about Go

+Is Go in demand in 2026?

Yes. Go appears in 12,654 job postings indexed by Skillenai over the 90 days ending 2026-10-01. Software Engineer accounts for the most postings mentioning Go (41.4% of all postings mentioning Go).

+What jobs require Go?

According to the Skillenai jobs index over the 90 days ending 2026-10-01, among roles with at least 20 postings, the highest shares mentioning Go are Full-stack Software Engineer (82.2% of that role’s postings mention Go), Full-stack Engineer (58.0% of that role’s postings mention Go), Production Engineer (56.2% of that role’s postings mention Go).

+What skills are commonly paired with Go?

Across job postings indexed by Skillenai (90 days ending 2026-10-01), Go most often appears alongside Python, Kubernetes, Java, AWS, TypeScript.

+Where is Go most in demand?

As of 2026-10-01, the metro areas posting the most jobs requiring Go are San Francisco, New York City, Bengaluru, London, Seattle, according to the Skillenai jobs index.

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

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

+Which skills come before and after Go?

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 Go — last 90 days

Salary distribution

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

Career paths around Go

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Go

Before Gopython → Go: 52 observed employer moves with this skill pairJava → Go: 34 observed employer moves with this skill pairJavaScript → Go: 25 observed employer moves with this skill pairReact → Go: 24 observed employer moves with this skill pairAWS → Go: 23 observed employer moves with this skill pairdocker → Go: 17 observed employer moves with this skill pairMYSQL → Go: 16 observed employer moves with this skill pairJenkins → Go: 16 observed employer moves with this skill pairGopython: 52 movespython52 movesJava: 34 movesJava34 movesJavaScript: 25 movesJavaScript25 movesReact: 24 movesReact24 movesAWS: 23 movesAWS23 movesdocker: 17 movesdocker17 movesMYSQL: 16 movesMYSQL16 movesJenkins: 16 movesJenkins16 moves

Skills after Go

After GoGo → python: 28 observed employer moves with this skill pairGo → docker: 14 observed employer moves with this skill pairGo → kubernetes: 14 observed employer moves with this skill pairGo → React: 13 observed employer moves with this skill pairGo → Java: 13 observed employer moves with this skill pairGo → PostgreSQL: 12 observed employer moves with this skill pairGo → TypeScript: 12 observed employer moves with this skill pairGo → Jenkins: 10 observed employer moves with this skill pairGopython: 28 movespython28 movesdocker: 14 movesdocker14 moveskubernetes: 14 moveskubernetes14 movesReact: 13 movesReact13 movesJava: 13 movesJava13 movesPostgreSQL: 12 movesPostgreSQL12 movesTypeScript: 12 movesTypeScript12 movesJenkins: 10 movesJenkins10 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: python52
Before: Java34
Before: JavaScript25
Before: React24
Before: AWS23
Before: docker17
Before: MYSQL16
Before: Jenkins16
After: python28
After: docker14
After: kubernetes14
After: React13
After: Java13
After: PostgreSQL12
After: TypeScript12
After: Jenkins10

Roles most likely to require Go

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

RolePostings mentioning skill% of role postings mentioning skill
Full-stack Software Engineer11182.2%
Full-stack Engineer5158.0%
Production Engineer2756.2%
Vulnerability Management Engineer1453.8%
Storage Engineer1244.4%
Distributed Systems Engineer2436.9%
Security Researcher2035.7%
Infrastructure Software Engineer1135.5%
Mission Software Engineer2034.5%
Security Automation Engineer1932.8%

Roles with the most Go postings

RolePostings mentioning skillShare of skill postings
Software Engineer5,23641.4%
Backend Engineer6615.2%
Site Reliability Engineer5494.3%
Engineering Manager3042.4%
Security Engineer2772.2%
Platform Engineer2712.1%
DevOps Engineer2702.1%
Full Stack Software Engineer1681.3%
Full Stack Engineer1651.3%
AI Engineer1471.2%

Top companies posting jobs requiring Go

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

Top companies posting jobs requiring Go
CompanyPostings · 90 days
Capital One601
Cisco397
SpaceX221
Stripe202
Anyone-ai143
Cloudflare139
Grab127
Google119
CrowdStrike112
Palo Alto Networks110

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 Go

NamePostingsShare
San Francisco5824.6%
New York City4693.7%
Bengaluru3242.6%
London3122.5%
Seattle2131.7%
Dublin2011.6%
San Jose1951.5%
Toronto1941.5%
Sunnyvale1611.3%

Skills commonly paired with Go

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01. 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 Go by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Go postings by all Go 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: 6.0% to 6.1%. 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
7cc407a156ba0f94
data_as_of
2026-10-01
window_days
90
Hiring engineers who use Go?

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