Tech Demand

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

1. Demand ranking

20 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.

python13terraform10aws9ansible8kubernetes8azure6grafana6linux6prometheus6shell6git5go5google-cloud5java4jenkins4

2. Momentum (vs the previous 4 weeks)

Heating up

TechnologyShareChangePostings
terraform50.0%+10.3pp10

Cooling down

TechnologyShareChangePostings
python65.0%-8.8pp13

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 170 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (170 of 170, 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
pythonlanguage1365.0% +2.6% 4.5%
terraformtool1050.0% +1.5% 0.0%
awscloud945.0% +2.6% 3.3%
ansibletool840.0% +0.0% 0.0%
kubernetestool840.0% +2.6% 4.0%
azurecloud630.0% +0.0% 3.6%
grafanatool630.0% +7.7% 0.0%
linuxtool630.0% +0.0% 3.8%
prometheustool630.0% +7.7% 0.0%
shelllanguage630.0% +0.0% 4.3%
gittool525.0% -7.7% 0.0%
golanguage525.0% +23.1% 8.9%
google-cloudcloud525.0% +1.5% 3.7%
javalanguage420.0% +2.6% 2.8%
jenkinstool420.0% +0.0% 3.3%
sqllanguage420.0% —(n=17) 0.0%
datadogtool315.0% +2.6% 3.0%
dockertool315.0% -5.1% 2.0%
gitlab-citool315.0% -5.1% 4.0%
javascriptlanguage210.0% —(n=12) 8.3%
kafkatool210.0% —(n=16) 0.0%
machine-learningai210.0% —(n=10) 10.0%
nodejslanguage210.0% —(n=13) 15.4%
typescriptlanguage210.0% —(n=9) 0.0%
airflowtool15.0% —(n=2) 0.0%
cpplanguage15.0% —(n=12) 25.0%
github-actionstool15.0% —(n=8) 0.0%
kibanatool15.0% —(n=10) 0.0%
kotlinlanguage15.0% —(n=2) 0.0%
llmai15.0% —(n=9) 11.1%

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 170 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
Site Reliability Engineering4627.1%23.9%
Kubernetes4425.9%27.3%
AWS3520.6%14.3%
Computer Science3118.2%0.0%
CI/CD2917.1%3.4%
Python2615.3%11.5%
Ansible2514.7%8.0%
Terraform2414.1%12.5%
Production Support2313.5%0.0%
Docker2212.9%13.6%
Root Cause Analysis2212.9%4.5%
Monitoring1810.6%0.0%
Scalability1810.6%0.0%
Cloud Infrastructure1710.0%0.0%
Dashboards1710.0%0.0%
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.