Tech Demand

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

1. Demand ranking

7 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.

aws5kubernetes5python5terraform5google-cloud4grafana4linux4prometheus4docker3gitlab-ci3go3jenkins3shell3ansible2azure2

2. Momentum (vs the previous 4 weeks)

No technology cleared the momentum bar this week (10+ postings under this lens): with counts that thin, a share delta would read noise as trend, so the boards stay empty rather than calling the market flat.

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$9500, the median of 101 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (101 of 101, 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
awscloud571.4% +5.3% 0.0%
kubernetestool571.4% +2.6% 0.0%
pythonlanguage571.4% +5.3% 0.0%
terraformtool571.4% +4.2% 0.0%
google-cloudcloud457.1% +10.5% 0.0%
grafanatool457.1% +0.0% 0.0%
linuxtool457.1% +2.6% 0.0%
prometheustool457.1% +0.0% 0.0%
dockertool342.9% -5.3% 0.0%
gitlab-citool342.9% —(n=18) 0.0%
golanguage342.9% +26.3% 0.0%
jenkinstool342.9% +2.6% 0.0%
shelllanguage342.9% +2.6% 0.0%
ansibletool228.6% +0.0% 0.0%
azurecloud228.6% +2.6% 0.0%
gittool228.6% —(n=15) 0.0%
javalanguage228.6% +5.3% 0.0%
kafkatool228.6% —(n=14) 0.0%
nodejslanguage228.6% —(n=8) 0.0%
cpplanguage114.3% —(n=7) 0.0%
datadogtool114.3% +2.6% 0.0%
github-actionstool114.3% —(n=4) 0.0%
javascriptlanguage114.3% —(n=10) 0.0%
kotlinlanguage114.3% —(n=2) 0.0%
llmai114.3% —(n=5) 0.0%
mysqldatabase114.3% —(n=3) 0.0%
reactframework114.3% —(n=6) 0.0%
redisdatabase114.3% —(n=3) 0.0%
rustlanguage114.3% —(n=3) 0.0%
springframework114.3% —(n=7) 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 101 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 Engineering3029.7%26.7%
Kubernetes2827.7%32.1%
AWS2726.7%18.5%
CI/CD2423.8%4.2%
Computer Science2221.8%0.0%
Python2019.8%10.0%
Docker1716.8%11.8%
Terraform1615.8%12.5%
Production Support1514.9%0.0%
Ansible1413.9%14.3%
Root Cause Analysis1312.9%7.7%
Monitoring1211.9%0.0%
Scalability1211.9%0.0%
Automation Scripting1110.9%9.1%
Cloud Infrastructure1110.9%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.