Tech Demand

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

1. Demand ranking

148 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.

python56cpp44machine-learning34java33javascript33sql29llm26csharp22computer-vision19react19aws18deep-learning16azure15css15postgresql15

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
machine-learning23.0%+7.7pp34
llm17.6%+4.9pp26
pytorch10.1%+3.8pp15
deep-learning10.8%+3.3pp16
tensorflow7.4%+3.1pp11
computer-vision12.8%+2.6pp19
css10.1%+2.0pp15
python37.8%+2.0pp56
postgresql10.1%+1.6pp15
cpp29.7%+1.5pp44

Cooling down

TechnologyShareChangePostings
sql19.6%-4.9pp29
git9.5%-4.7pp14
csharp14.9%-4.6pp22
linux8.8%-2.9pp13
typescript7.4%-2.6pp11
aws12.2%-2.2pp18
javascript22.3%-1.7pp33
docker6.8%-1.6pp10
react12.8%-1.6pp19
java22.3%-0.8pp33

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$5275, the median of 1452 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1452 of 1452, 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
pythonlanguage5637.8% +9.0% 100.0%
cpplanguage4429.7% +10.9% 100.0%
machine-learningai3423.0% +67.8% 100.0%
javalanguage3322.3% +13.7% 100.0%
javascriptlanguage3322.3% -0.5% 100.0%
sqllanguage2919.6% -5.2% 100.0%
llmai2617.6% +42.2% 100.0%
csharplanguage2214.9% -7.1% 100.0%
computer-visionai1912.8% -5.2% 100.0%
reactframework1912.8% +7.1% 100.0%
awscloud1812.2% -1.4% 100.0%
deep-learningai1610.8% +80.1% 100.0%
azurecloud1510.1% +9.0% 100.0%
csslanguage1510.1% -10.0% 100.0%
postgresqldatabase1510.1% -14.7% 100.0%
pytorchai1510.1% +75.4% 100.0%
gittool149.5% +4.3% 100.0%
htmllanguage149.5% -5.2% 100.0%
linuxtool138.8% +6.2% 100.0%
mssqldatabase138.8% -14.7% 100.0%
nodejslanguage128.1% +9.0% 100.0%
mysqldatabase117.4% -14.7% 100.0%
tensorflowai117.4% +80.1% 100.0%
typescriptlanguage117.4% +13.7% 100.0%
dockertool106.8% +7.1% 100.0%
springframework106.8% +10.9% 100.0%
angularframework96.1% -0.5% 100.0%
generative-aiai96.1% +42.2% 100.0%
golanguage96.1% +84.8% 100.0%
kubernetestool96.1% +9.0% 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 1452 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 Science38526.5%2.1%
Java30220.8%9.9%
Software Development28519.6%6.7%
Python26418.2%12.9%
Software Engineering24717.0%4.9%
C#22815.7%3.9%
C++21314.7%5.6%
SQL20714.3%3.9%
JavaScript20113.8%4.5%
Computer Engineering18012.4%1.7%
Design15810.9%0.0%
Information Technology1278.7%5.5%
Troubleshooting1268.7%1.6%
C Language1228.4%4.9%
Machine Learning1178.1%6.0%
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.