Tech Demand

What is worth learning · reported week 2026-W44 (last completed ISO week, SGT) · 6+ yrs · Platform
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Demand ranking

126 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.

linux23sql22aws21python18shell18kubernetes14terraform14azure13llm12google-cloud11generative-ai10docker8ansible7grafana7java7

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
llm9.5%+2.9pp12
linux18.3%+1.8pp23
generative-ai7.9%+0.7pp10

Cooling down

TechnologyShareChangePostings
azure10.3%-11.3pp13
python14.3%-8.8pp18
kubernetes11.1%-6.9pp14
terraform11.1%-5.8pp14
aws16.7%-4.9pp21
shell14.3%-4.0pp18
google-cloud8.7%-2.7pp11
sql17.5%-1.9pp22

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$9750, the median of 1343 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1343 of 1343, 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
linuxtool2318.3% -2.6% 0.0%
sqllanguage2217.5% -2.6% 0.0%
awscloud2116.7% +5.1% 0.0%
pythonlanguage1814.3% +2.6% 0.0%
shelllanguage1814.3% +2.6% 0.0%
kubernetestool1411.1% +2.6% 0.0%
terraformtool1411.1% +2.6% 0.0%
azurecloud1310.3% +0.0% 0.0%
llmai129.5% +10.3% 0.0%
google-cloudcloud118.7% +7.7% 0.0%
generative-aiai107.9% +7.7% 0.0%
dockertool86.3% -2.6% 0.0%
ansibletool75.6% -7.7% 0.0%
grafanatool75.6% -2.6% 0.0%
javalanguage75.6% +2.6% 0.0%
mssqldatabase75.6% -7.7% 0.0%
postgresqldatabase75.6% +7.7% 0.0%
gittool54.0% -2.6% 0.0%
gitlab-citool54.0% +7.7% 0.0%
machine-learningai54.0% +10.3% 0.0%
prometheustool54.0% -5.1% 0.0%
javascriptlanguage43.2% -2.6% 0.0%
jenkinstool43.2% -2.6% 0.0%
kafkatool43.2% +2.6% 0.0%
github-actionstool32.4% +2.6% 0.0%
swiftlanguage32.4% +2.6% 0.0%
csharplanguage21.6% -2.6% 0.0%
datadogtool21.6% —(n=14) 0.0%
springframework21.6% —(n=18) 0.0%
angularframework10.8% —(n=9) 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 1343 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 Science19214.3%1.0%
AWS14110.5%14.2%
Stakeholder Management1259.3%14.4%
Information Technology1249.2%9.7%
Kubernetes1239.2%17.1%
Ansible1027.6%5.9%
Cloud Infrastructure1027.6%15.7%
Terraform997.4%16.2%
Computer Engineering936.9%5.4%
Design936.9%1.1%
Networking836.2%1.2%
Python775.7%13.0%
SQL765.7%10.5%
Project Management735.4%8.2%
Azure DevOps695.1%13.0%
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.