Tech Demand

What is worth learning · reported week 2026-W37 (last completed ISO week, SGT) · Platform
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

468 enriched SWE postings in 2026-W37. Share = postings mentioning the technology ÷ that number — postings still awaiting enrichment are excluded from the denominator, so a processing backlog cannot depress every share at once. The chart shows the top 15; the table in section 3 lists the top 30.

aws145python99sql93kubernetes92linux92azure89terraform84shell72ansible65docker65grafana48google-cloud42prometheus42java40gitlab-ci39

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
kafka5.3%+2.3pp25
gitlab-ci8.3%+2.3pp39
git7.5%+2.1pp35
github-actions5.1%+1.8pp24
sql19.9%+1.8pp93
aws31.0%+1.7pp145
react3.6%+1.7pp17
typescript2.6%+1.6pp12
kubernetes19.7%+1.5pp92
nginx2.6%+1.3pp12

Cooling down

TechnologyShareChangePostings
azure19.0%-4.8pp89
linux19.7%-1.5pp92
terraform17.9%-1.3pp84
google-cloud9.0%-1.3pp42
python21.2%-1.1pp99
shell15.4%-0.8pp72
java8.5%-0.8pp40
go2.1%-0.8pp10
generative-ai2.1%-0.6pp10
jenkins6.6%-0.5pp31

Change is in percentage points of share, not relative percent: a technology going from 1 to 3 postings would otherwise read as +200% and top the board. Boards consider every technology above the bar, not only the 30 the table below shows.

3. Salary premium and entry-friendliness

Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$6750, the median of 4401 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (4401 of 4401, in any unit); the rest hide it, and no figure here describes them. Entry-friendly is computed over the same 90-day window. Premium mixes seniority in (senior roles name more infrastructure); pick an experience band above to compare within one. Entry-friendly = the share of postings mentioning the technology that ask for at most 2 years' experience, or are Intern/Junior roles with no stated requirement. The table lists the top 30 technologies by postings.

TechnologyKindPostingsShareSalary premiumEntry-friendly
awscloud14531.0% +7.4% 24.7%
pythonlanguage9921.2% +13.3% 21.8%
sqllanguage9319.9% -3.7% 29.3%
kubernetestool9219.7% +11.1% 24.2%
linuxtool9219.7% -3.7% 27.9%
azurecloud8919.0% +7.4% 24.2%
terraformtool8417.9% +14.8% 25.8%
shelllanguage7215.4% +14.8% 20.6%
ansibletool6513.9% +11.1% 19.8%
dockertool6513.9% +7.4% 26.6%
grafanatool4810.3% +0.0% 21.8%
google-cloudcloud429.0% +3.7% 34.6%
prometheustool429.0% -3.7% 23.8%
javalanguage408.5% +11.1% 15.1%
gitlab-citool398.3% +18.5% 26.8%
gittool357.5% +9.6% 24.4%
jenkinstool316.6% +18.5% 23.1%
mssqldatabase275.8% -3.7% 21.6%
kafkatool255.3% +11.1% 10.7%
github-actionstool245.1% +11.1% 33.3%
javascriptlanguage183.8% +4.4% 16.7%
llmai173.6% +25.9% 13.7%
postgresqldatabase173.6% +11.1% 24.6%
reactframework173.6% +11.1% 10.0%
mongodbdatabase153.2% -14.1% 32.1%
machine-learningai122.6% +14.8% 19.7%
nginxtool122.6% -23.0% 1.6%
typescriptlanguage122.6% +11.1% 13.3%
generative-aiai102.1% +18.5% 14.9%
golanguage102.1% +18.5% 31.6%

4. What else they ask for

These are MyCareersFuture's own skill tags — the competencies the employer filled in on the form, over the trailing 90 days (2026-06-23 → 2026-09-20) across 4401 postings. They are not the technology ranking above: languages and frameworks appear only in the free-text description, which is why this system reads it separately. "Must-have" is the share of postings listing the tag that marked it essential rather than desirable — a tag that is everywhere but rarely essential is table stakes, one that is usually essential is a filter someone is applying.

SkillPostingsShareMarked must-have
Computer Science76517.4%1.3%
Information Technology65414.9%2.8%
AWS57613.1%20.1%
Kubernetes49211.2%19.3%
Networking4079.2%5.4%
Cloud Infrastructure4029.1%16.9%
Computer Engineering3898.8%1.5%
Troubleshooting3437.8%3.2%
Design3257.4%3.4%
Ansible3247.4%7.4%
Linux3056.9%13.8%
Stakeholder Management3046.9%10.5%
Docker2986.8%16.4%
SQL2796.3%13.6%
Python2766.3%8.7%
Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.