Tech Demand

What is worth learning · reported week 2026-W44 (last completed ISO week, SGT) · 0-2 yrs · Backend
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

127 enriched SWE postings in 2026-W44. 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.

java48cpp39javascript35python34sql32git30react28spring25typescript22csharp21nodejs21docker19computer-vision16mongodb16linux15

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
java37.8%+11.2pp48
spring19.7%+11.0pp25
typescript17.3%+8.2pp22
git23.6%+7.1pp30
react22.0%+6.7pp28
nodejs16.5%+5.7pp21
mongodb12.6%+5.6pp16
mssql11.8%+5.0pp15
computer-vision12.6%+3.6pp16
docker15.0%+3.3pp19

Cooling down

TechnologyShareChangePostings
machine-learning9.4%-10.5pp12
python26.8%-6.5pp34
llm11.0%-3.4pp14
javascript27.6%-2.5pp35
sql25.2%-0.8pp32

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$5250, the median of 1658 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1658 of 1658, 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
javalanguage4837.8% +9.5% 100.0%
cpplanguage3930.7% +9.5% 100.0%
javascriptlanguage3527.6% -1.0% 100.0%
pythonlanguage3426.8% +9.5% 100.0%
sqllanguage3225.2% -4.8% 100.0%
gittool3023.6% +0.0% 100.0%
reactframework2822.0% +4.8% 100.0%
springframework2519.7% +4.8% 100.0%
typescriptlanguage2217.3% +9.5% 100.0%
csharplanguage2116.5% -9.5% 100.0%
nodejslanguage2116.5% +4.8% 100.0%
dockertool1915.0% +3.8% 100.0%
computer-visionai1612.6% -4.8% 100.0%
mongodbdatabase1612.6% +4.8% 100.0%
linuxtool1511.8% +6.7% 100.0%
mssqldatabase1511.8% -16.2% 100.0%
llmai1411.0% +35.0% 100.0%
machine-learningai129.4% +47.6% 100.0%
angularframework118.7% -4.8% 100.0%
kubernetestool118.7% +7.9% 100.0%
awscloud97.1% +2.9% 100.0%
azurecloud97.1% +4.8% 100.0%
mysqldatabase97.1% -11.4% 100.0%
postgresqldatabase97.1% -14.3% 100.0%
shelllanguage75.5% +4.8% 100.0%
generative-aiai64.7% +32.4% 100.0%
csslanguage53.9% -9.5% 100.0%
deep-learningai53.9% +81.0% 100.0%
golanguage53.9% +85.7% 100.0%
elasticsearchdatabase43.1% +9.5% 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 (2026-08-08 → 2026-11-05) across 1658 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 Science52231.5%2.1%
Software Development33019.9%8.8%
Java28617.2%9.4%
Python26215.8%14.5%
C#26115.7%4.6%
Software Engineering25715.5%4.3%
JavaScript24614.8%6.9%
C++24514.8%6.5%
Computer Engineering23914.4%1.7%
SQL20312.2%6.9%
Design17910.8%1.1%
Machine Learning1529.2%7.9%
Information Technology1458.7%4.8%
Computer Vision1247.5%3.2%
CSS1237.4%0.8%
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.