12 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.
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$11000, the median of 57 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (57 of 57, 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 | 8 | 66.7% | -9.1% | 0.0% |
| ansible | tool | 6 | 50.0% | —(n=17) | 0.0% |
| terraform | tool | 5 | 41.7% | -11.4% | 0.0% |
| aws | cloud | 4 | 33.3% | +9.1% | 0.0% |
| azure | cloud | 4 | 33.3% | —(n=14) | 0.0% |
| git | tool | 3 | 25.0% | —(n=7) | 0.0% |
| kubernetes | tool | 3 | 25.0% | -4.5% | 0.0% |
| shell | language | 3 | 25.0% | -18.2% | 0.0% |
| sql | language | 3 | 25.0% | —(n=10) | 0.0% |
| datadog | tool | 2 | 16.7% | —(n=12) | 0.0% |
| go | language | 2 | 16.7% | —(n=7) | 0.0% |
| grafana | tool | 2 | 16.7% | —(n=18) | 0.0% |
| java | language | 2 | 16.7% | —(n=10) | 0.0% |
| linux | tool | 2 | 16.7% | -10.0% | 0.0% |
| machine-learning | ai | 2 | 16.7% | —(n=3) | 0.0% |
| prometheus | tool | 2 | 16.7% | —(n=15) | 0.0% |
| airflow | tool | 1 | 8.3% | —(n=1) | 0.0% |
| google-cloud | cloud | 1 | 8.3% | —(n=15) | 0.0% |
| javascript | language | 1 | 8.3% | —(n=1) | 0.0% |
| jenkins | tool | 1 | 8.3% | —(n=7) | 0.0% |
| kibana | tool | 1 | 8.3% | —(n=6) | 0.0% |
| mssql | database | 1 | 8.3% | —(n=4) | 0.0% |
| postgresql | database | 1 | 8.3% | —(n=3) | 0.0% |
| typescript | language | 1 | 8.3% | —(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 (2026-08-08 → 2026-11-05) across 57 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 |
|---|---|---|---|
| Kubernetes | 12 | 21.1% | 16.7% |
| Ansible | 11 | 19.3% | 0.0% |
| Site Reliability Engineering | 11 | 19.3% | 9.1% |
| Computer Science | 8 | 14.0% | 0.0% |
| Dashboards | 8 | 14.0% | 0.0% |
| Production Support | 8 | 14.0% | 0.0% |
| Root Cause Analysis | 8 | 14.0% | 0.0% |
| Terraform | 8 | 14.0% | 12.5% |
| AWS | 7 | 12.3% | 0.0% |
| Capacity Planning | 6 | 10.5% | 0.0% |
| GCP | 6 | 10.5% | 0.0% |
| Monitoring | 6 | 10.5% | 0.0% |
| Oracle Alerts | 6 | 10.5% | 0.0% |
| Production Environment | 6 | 10.5% | 0.0% |
| Progress Reporting | 6 | 10.5% | 0.0% |