10 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$9500, the median of 96 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (96 of 96, 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 |
|---|---|---|---|---|---|
| aws | cloud | 6 | 60.0% | +4.2% | 7.7% |
| linux | tool | 5 | 50.0% | -5.3% | 7.3% |
| ansible | tool | 4 | 40.0% | -5.3% | 4.8% |
| grafana | tool | 4 | 40.0% | -5.3% | 3.8% |
| python | language | 4 | 40.0% | +2.6% | 7.7% |
| terraform | tool | 4 | 40.0% | +4.2% | 0.0% |
| datadog | tool | 3 | 30.0% | —(n=11) | 9.1% |
| docker | tool | 3 | 30.0% | -5.3% | 3.3% |
| java | language | 3 | 30.0% | -5.3% | 8.3% |
| kubernetes | tool | 3 | 30.0% | +4.2% | 4.7% |
| prometheus | tool | 3 | 30.0% | -5.3% | 0.0% |
| shell | language | 3 | 30.0% | +0.0% | 11.4% |
| azure | cloud | 2 | 20.0% | +0.0% | 5.7% |
| google-cloud | cloud | 2 | 20.0% | +5.3% | 6.5% |
| jenkins | tool | 2 | 20.0% | —(n=17) | 11.8% |
| sql | language | 2 | 20.0% | —(n=10) | 20.0% |
| git | tool | 1 | 10.0% | —(n=18) | 5.6% |
| github-actions | tool | 1 | 10.0% | —(n=3) | 0.0% |
| gitlab-ci | tool | 1 | 10.0% | —(n=15) | 13.3% |
| grpc | tool | 1 | 10.0% | —(n=1) | 0.0% |
| html | language | 1 | 10.0% | —(n=2) | 0.0% |
| kafka | tool | 1 | 10.0% | —(n=7) | 14.3% |
| kibana | tool | 1 | 10.0% | —(n=6) | 0.0% |
| mssql | database | 1 | 10.0% | —(n=1) | 0.0% |
| mysql | database | 1 | 10.0% | —(n=3) | 0.0% |
| postgresql | database | 1 | 10.0% | —(n=3) | 0.0% |
| redis | database | 1 | 10.0% | —(n=3) | 0.0% |
| spring | framework | 1 | 10.0% | —(n=6) | 16.7% |
| swift | language | 1 | 10.0% | —(n=1) | 100.0% |
| typescript | language | 1 | 10.0% | —(n=6) | 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 96 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 |
|---|---|---|---|
| Site Reliability Engineering | 23 | 24.0% | 43.5% |
| Kubernetes | 22 | 22.9% | 40.9% |
| AWS | 20 | 20.8% | 25.0% |
| Python | 18 | 18.8% | 27.8% |
| Docker | 17 | 17.7% | 17.6% |
| Automation Tools | 14 | 14.6% | 0.0% |
| Computer Science | 14 | 14.6% | 0.0% |
| Linux | 14 | 14.6% | 28.6% |
| Monitoring Tools | 14 | 14.6% | 7.1% |
| Production Support | 14 | 14.6% | 0.0% |
| Design | 13 | 13.5% | 0.0% |
| Ansible | 12 | 12.5% | 25.0% |
| CI/CD | 12 | 12.5% | 8.3% |
| Java | 12 | 12.5% | 16.7% |
| Scalability | 12 | 12.5% | 0.0% |