Tech Demand

What is worth learning · reported week 2026-W44 (last completed ISO week, SGT) · 3-5 yrs · Platform
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

205 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.

sql60aws50azure48python48kubernetes44shell41terraform41linux40docker38ansible24git23google-cloud19grafana17java17jenkins15

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
sql29.3%+12.8pp60
docker18.5%+6.5pp38
terraform20.0%+5.4pp41
git11.2%+4.1pp23
kubernetes21.5%+3.3pp44
mssql6.3%+3.3pp13
shell20.0%+3.1pp41
google-cloud9.3%+2.9pp19
python23.4%+1.7pp48
jenkins7.3%+1.1pp15

Cooling down

TechnologyShareChangePostings
aws24.4%-1.4pp50
ansible11.7%-1.1pp24
prometheus6.3%-0.7pp13

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$7000, the median of 2675 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (2675 of 2675, 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
sqllanguage6029.3% -1.4% 0.0%
awscloud5024.4% +7.1% 0.0%
azurecloud4823.4% +0.0% 0.0%
pythonlanguage4823.4% +14.3% 0.0%
kubernetestool4421.5% +10.7% 0.0%
shelllanguage4120.0% +14.3% 0.0%
terraformtool4120.0% +14.3% 0.0%
linuxtool4019.5% +0.0% 0.0%
dockertool3818.5% +14.3% 0.0%
ansibletool2411.7% +7.1% 0.0%
gittool2311.2% +7.1% 0.0%
google-cloudcloud199.3% +17.9% 0.0%
grafanatool178.3% +7.1% 0.0%
javalanguage178.3% +7.1% 0.0%
jenkinstool157.3% +14.3% 0.0%
mssqldatabase136.3% -10.7% 0.0%
prometheustool136.3% +3.6% 0.0%
golanguage125.9% +21.4% 0.0%
javascriptlanguage94.4% +7.1% 0.0%
machine-learningai94.4% +7.1% 0.0%
generative-aiai83.9% +0.0% 0.0%
gitlab-citool83.9% +17.9% 0.0%
postgresqldatabase83.9% +17.9% 0.0%
github-actionstool73.4% +17.9% 0.0%
llmai73.4% +24.3% 0.0%
datadogtool62.9% +14.3% 0.0%
springframework62.9% +7.1% 0.0%
csharplanguage52.4% -7.1% 0.0%
elasticsearchdatabase52.4% +25.0% 0.0%
kafkatool42.0% +7.1% 0.0%

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 2675 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 Science59022.1%2.0%
Information Technology39614.8%2.0%
AWS31911.9%19.1%
Kubernetes28710.7%12.9%
Computer Engineering2469.2%1.2%
Cloud Infrastructure2138.0%17.4%
Stakeholder Management2107.9%7.1%
Networking2037.6%3.4%
Troubleshooting1977.4%3.0%
Ansible1967.3%9.2%
Design1917.1%3.1%
Terraform1816.8%14.4%
Python1796.7%12.8%
Root Cause Analysis1616.0%6.8%
Linux1515.6%13.9%
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.