Tech Demand

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

1. Demand ranking

137 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.

python27azure22aws21shell17google-cloud16linux16java9kubernetes9cloudflare5csharp4machine-learning4ansible3go3llm3docker2

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
google-cloud11.7%+3.0pp16
shell12.4%+2.9pp17
python19.7%+0.1pp27

Cooling down

TechnologyShareChangePostings
linux11.7%-5.4pp16
aws15.3%-3.9pp21
azure16.1%-1.8pp22

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 1299 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1299 of 1299, 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
pythonlanguage2719.7% +21.4% 18.4%
azurecloud2216.1% +17.9% 9.7%
awscloud2115.3% +21.4% 10.5%
shelllanguage1712.4% +17.9% 24.8%
google-cloudcloud1611.7% +24.3% 12.2%
linuxtool1611.7% +6.4% 28.9%
javalanguage96.6% +0.0% 31.8%
kubernetestool96.6% +25.0% 11.9%
cloudflarecloud53.6% +17.9% 4.2%
csharplanguage42.9% -17.9% 80.6%
machine-learningai42.9% —(n=15) 20.0%
ansibletool32.2% +17.9% 2.1%
golanguage32.2% -17.9% 65.1%
llmai32.2% +28.6% 6.1%
dockertool21.5% -14.3% 27.6%
elasticsearchdatabase21.5% —(n=16) 6.2%
generative-aiai21.5% +25.0% 4.5%
javascriptlanguage21.5% +42.9% 23.3%
kibanatool21.5% —(n=14) 7.1%
cpplanguage10.7% —(n=11) 9.1%
github-actionstool10.7% —(n=19) 15.8%
gitlab-citool10.7% —(n=14) 7.1%
jenkinstool10.7% +21.4% 18.2%
kafkatool10.7% —(n=9) 0.0%
ragai10.7% —(n=12) 0.0%
sqllanguage10.7% +39.3% 18.5%
swiftlanguage10.7% —(n=3) 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 (2026-06-23 → 2026-09-20) across 1299 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
Cyber Security37628.9%8.8%
CISSP34026.2%7.9%
Cybersecurity31424.2%21.7%
Computer Science31224.0%0.3%
Network Security24018.5%12.9%
Security Operations24018.5%9.2%
Information Technology23518.1%1.3%
Cybersecurity Framework Application23418.0%4.3%
Networking21716.7%0.5%
Vulnerability Assessment17613.5%10.8%
Penetration Testing16112.4%6.2%
Cyberark15712.1%35.7%
SIEM14511.2%39.3%
Enterprise Security Solutions1239.5%6.5%
Certifications1229.4%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.