Tech Demand

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

1. Demand ranking

179 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.

aws35azure28linux28python26google-cloud16java12shell10kubernetes7go6ansible4sql3terraform3csharp2javascript2kibana2

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
aws19.6%+2.7pp35
azure15.6%+2.3pp28
java6.7%+0.5pp12
linux15.6%+0.1pp28
google-cloud8.9%+0.0pp16

Cooling down

TechnologyShareChangePostings
python14.5%-2.0pp26
shell5.6%-2.0pp10

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 1699 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1699 of 1699, 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
awscloud3519.6% +21.4% 10.0%
azurecloud2815.6% +14.3% 9.8%
linuxtool2815.6% +14.3% 20.3%
pythonlanguage2614.5% +25.0% 16.6%
google-cloudcloud168.9% +28.6% 11.2%
javalanguage126.7% +14.3% 28.6%
shelllanguage105.6% +25.0% 21.2%
kubernetestool73.9% +28.6% 14.3%
golanguage63.4% +28.6% 57.1%
ansibletool42.2% +17.9% 3.4%
sqllanguage31.7% +32.1% 9.3%
terraformtool31.7% +28.6% 5.7%
csharplanguage21.1% -17.9% 78.6%
javascriptlanguage21.1% +50.0% 17.1%
kibanatool21.1% —(n=16) 0.0%
llmai21.1% +35.7% 11.4%
rustlanguage21.1% —(n=9) 22.2%
springframework21.1% —(n=5) 0.0%
cloudflarecloud10.6% +17.9% 8.0%
cpplanguage10.6% —(n=17) 35.3%
dockertool10.6% +5.0% 20.9%
kafkatool10.6% —(n=11) 0.0%
machine-learningai10.6% +12.1% 18.5%
mssqldatabase10.6% —(n=14) 0.0%
nodejslanguage10.6% —(n=5) 20.0%
ragai10.6% —(n=12) 0.0%
sparkframework10.6% —(n=1) 0.0%
typescriptlanguage10.6% —(n=5) 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 1699 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 Security49128.9%7.1%
CISSP45626.8%8.1%
Cybersecurity41424.4%19.3%
Computer Science39423.2%0.5%
Security Operations34220.1%10.8%
Network Security32919.4%11.6%
Information Technology31818.7%4.1%
Cybersecurity Framework Application28416.7%4.6%
Networking28416.7%1.4%
Vulnerability Assessment23313.7%9.0%
Cyberark22213.1%39.2%
Penetration Testing20912.3%6.2%
SIEM20812.2%46.2%
Cybersecurity Engineering18711.0%20.3%
Enterprise Security Solutions17810.5%10.1%
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.