27 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.
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.
Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$10500, the median of 286 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (286 of 286, 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.
| Technology | Kind | Postings | Share | Salary premium | Entry-friendly |
|---|---|---|---|---|---|
| python | language | 7 | 25.9% | -4.8% | 0.0% |
| azure | cloud | 5 | 18.5% | +0.0% | 0.0% |
| linux | tool | 4 | 14.8% | -2.4% | 0.0% |
| aws | cloud | 3 | 11.1% | -7.1% | 0.0% |
| java | language | 3 | 11.1% | +28.6% | 0.0% |
| shell | language | 3 | 11.1% | -7.1% | 0.0% |
| ansible | tool | 2 | 7.4% | —(n=13) | 0.0% |
| elasticsearch | database | 2 | 7.4% | —(n=4) | 0.0% |
| generative-ai | ai | 2 | 7.4% | —(n=13) | 0.0% |
| google-cloud | cloud | 2 | 7.4% | -2.4% | 0.0% |
| javascript | language | 2 | 7.4% | —(n=10) | 0.0% |
| kibana | tool | 2 | 7.4% | —(n=6) | 0.0% |
| llm | ai | 2 | 7.4% | —(n=13) | 0.0% |
| cloudflare | cloud | 1 | 3.7% | —(n=4) | 0.0% |
| csharp | language | 1 | 3.7% | —(n=2) | 0.0% |
| github-actions | tool | 1 | 3.7% | —(n=8) | 0.0% |
| gitlab-ci | tool | 1 | 3.7% | —(n=7) | 0.0% |
| jenkins | tool | 1 | 3.7% | —(n=8) | 0.0% |
| kafka | tool | 1 | 3.7% | —(n=1) | 0.0% |
| kubernetes | tool | 1 | 3.7% | +0.0% | 0.0% |
| machine-learning | ai | 1 | 3.7% | —(n=8) | 0.0% |
| rag | ai | 1 | 3.7% | —(n=4) | 0.0% |
| sql | language | 1 | 3.7% | —(n=8) | 0.0% |
| swift | language | 1 | 3.7% | —(n=1) | 0.0% |
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 286 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.
| Skill | Postings | Share | Marked must-have |
|---|---|---|---|
| CISSP | 108 | 37.8% | 12.0% |
| Cybersecurity | 83 | 29.0% | 20.5% |
| Security Operations | 71 | 24.8% | 2.8% |
| Computer Science | 68 | 23.8% | 0.0% |
| Security Architecture | 60 | 21.0% | 10.0% |
| Security Governance | 58 | 20.3% | 0.0% |
| Threat Intelligence | 55 | 19.2% | 0.0% |
| Enterprise Security Solutions | 50 | 17.5% | 8.0% |
| Risk Management | 48 | 16.8% | 2.1% |
| Cyberark | 43 | 15.0% | 51.2% |
| Cybersecurity Engineering | 43 | 15.0% | 46.5% |
| Diplomacy | 42 | 14.7% | 0.0% |
| Security Incident Response | 40 | 14.0% | 27.5% |
| Network Security | 37 | 12.9% | 16.2% |
| Stakeholder Management | 37 | 12.9% | 0.0% |