5 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 30 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (30 of 30, 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 | 2 | 40.0% | —(n=16) | 0.0% |
| docker | tool | 2 | 40.0% | —(n=9) | 0.0% |
| grafana | tool | 2 | 40.0% | —(n=10) | 0.0% |
| java | language | 2 | 40.0% | —(n=7) | 0.0% |
| kubernetes | tool | 2 | 40.0% | —(n=12) | 0.0% |
| linux | tool | 2 | 40.0% | —(n=10) | 0.0% |
| sql | language | 2 | 40.0% | —(n=6) | 0.0% |
| ansible | tool | 1 | 20.0% | —(n=7) | 0.0% |
| git | tool | 1 | 20.0% | —(n=5) | 0.0% |
| google-cloud | cloud | 1 | 20.0% | —(n=8) | 0.0% |
| grpc | tool | 1 | 20.0% | —(n=1) | 0.0% |
| html | language | 1 | 20.0% | —(n=1) | 0.0% |
| jenkins | tool | 1 | 20.0% | —(n=6) | 0.0% |
| kafka | tool | 1 | 20.0% | —(n=3) | 0.0% |
| kibana | tool | 1 | 20.0% | —(n=3) | 0.0% |
| mssql | database | 1 | 20.0% | —(n=1) | 0.0% |
| mysql | database | 1 | 20.0% | —(n=2) | 0.0% |
| postgresql | database | 1 | 20.0% | —(n=2) | 0.0% |
| prometheus | tool | 1 | 20.0% | —(n=9) | 0.0% |
| python | language | 1 | 20.0% | —(n=12) | 0.0% |
| redis | database | 1 | 20.0% | —(n=3) | 0.0% |
| shell | language | 1 | 20.0% | —(n=9) | 0.0% |
| spring | framework | 1 | 20.0% | —(n=3) | 0.0% |
| terraform | tool | 1 | 20.0% | —(n=14) | 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 30 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 |
|---|---|---|---|
| AWS | 7 | 23.3% | 28.6% |
| Terraform | 7 | 23.3% | 14.3% |
| Docker | 5 | 16.7% | 20.0% |
| Graduate Engineering | 5 | 16.7% | 0.0% |
| Kubernetes | 5 | 16.7% | 80.0% |
| Monitoring Tools | 5 | 16.7% | 0.0% |
| Production Support | 5 | 16.7% | 0.0% |
| Site Reliability Engineering | 5 | 16.7% | 40.0% |
| Azure DevOps | 4 | 13.3% | 25.0% |
| Civil Engineering | 4 | 13.3% | 0.0% |
| Cloud Infrastructure | 4 | 13.3% | 25.0% |
| Computer Science | 4 | 13.3% | 0.0% |
| Drawing | 4 | 13.3% | 0.0% |
| Dynatrace | 4 | 13.3% | 50.0% |
| Healthcare | 4 | 13.3% | 0.0% |