Tech Demand

What is worth learning · reported week 2026-W37 (last completed ISO week, SGT) · 0-2 yrs
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

392 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.

python120sql88aws65machine-learning60cpp54java53azure48javascript48linux46llm42csharp33react32mssql30kubernetes29docker26

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
machine-learning15.3%+3.7pp60
llm10.7%+2.9pp42
rag4.3%+1.4pp17
mssql7.7%+1.4pp30
openai3.3%+1.3pp13
postgresql6.6%+1.1pp26
cpp13.8%+1.0pp54
nodejs6.1%+0.7pp24
angular4.1%+0.6pp16
python30.6%+0.6pp120

Cooling down

TechnologyShareChangePostings
docker6.6%-4.0pp26
git6.4%-3.5pp25
aws16.6%-3.4pp65
google-cloud6.1%-3.2pp24
kubernetes7.4%-2.9pp29
linux11.7%-2.8pp46
azure12.2%-2.3pp48
javascript12.2%-2.0pp48
terraform5.6%-1.9pp22
generative-ai3.6%-1.5pp14

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$5150, the median of 3754 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (3754 of 3754, 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
pythonlanguage12030.6% +12.6% 100.0%
sqllanguage8822.4% -2.9% 100.0%
awscloud6516.6% +4.9% 100.0%
machine-learningai6015.3% +34.0% 100.0%
cpplanguage5413.8% +16.5% 100.0%
javalanguage5313.5% +13.6% 100.0%
azurecloud4812.2% +6.3% 100.0%
javascriptlanguage4812.2% +1.9% 100.0%
linuxtool4611.7% +6.8% 100.0%
llmai4210.7% +26.2% 100.0%
csharplanguage338.4% -4.9% 100.0%
reactframework328.2% +11.7% 100.0%
mssqldatabase307.7% -12.6% 100.0%
kubernetestool297.4% +11.7% 100.0%
dockertool266.6% +11.7% 100.0%
postgresqldatabase266.6% +3.4% 100.0%
gittool256.4% +6.8% 100.0%
google-cloudcloud246.1% +9.7% 100.0%
nodejslanguage246.1% +11.7% 100.0%
computer-visionai225.6% +1.0% 100.0%
shelllanguage225.6% +6.8% 100.0%
terraformtool225.6% +9.7% 100.0%
golanguage215.4% +65.0% 100.0%
pytorchai205.1% +40.8% 100.0%
typescriptlanguage194.8% +16.5% 100.0%
csslanguage184.6% -6.8% 100.0%
deep-learningai184.6% +45.6% 100.0%
htmllanguage174.3% -2.9% 100.0%
mysqldatabase174.3% +1.9% 100.0%
ragai174.3% +21.4% 100.0%

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 3754 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 Science81521.7%1.5%
Python53414.2%11.0%
Information Technology52514.0%2.3%
Java45412.1%7.0%
SQL44411.8%6.5%
Computer Engineering39510.5%1.8%
Software Development38410.2%5.7%
JavaScript3369.0%5.4%
Software Engineering3328.8%4.2%
Troubleshooting3298.8%2.7%
Design3168.4%1.9%
Networking3108.3%5.2%
C#2947.8%3.4%
AWS2807.5%16.8%
C++2737.3%5.1%
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.