16 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$7250, the median of 232 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (232 of 232, 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 |
|---|---|---|---|---|---|
| kotlin | language | 6 | 37.5% | +20.7% | 23.4% |
| swift | language | 6 | 37.5% | +13.8% | 28.8% |
| java | language | 3 | 18.8% | +13.8% | 26.9% |
| sqlite | database | 3 | 18.8% | -53.1% | 58.1% |
| git | tool | 2 | 12.5% | +13.8% | 5.5% |
| react | framework | 2 | 12.5% | +13.8% | 14.8% |
| aws | cloud | 1 | 6.2% | —(n=9) | 11.1% |
| computer-vision | ai | 1 | 6.2% | —(n=2) | 0.0% |
| cpp | language | 1 | 6.2% | —(n=17) | 47.1% |
| generative-ai | ai | 1 | 6.2% | —(n=6) | 33.3% |
| github-actions | tool | 1 | 6.2% | —(n=9) | 11.1% |
| langchain | ai | 1 | 6.2% | —(n=1) | 0.0% |
| llama | ai | 1 | 6.2% | —(n=1) | 0.0% |
| llm | ai | 1 | 6.2% | —(n=11) | 36.4% |
| mssql | database | 1 | 6.2% | —(n=18) | 88.9% |
| nlp | ai | 1 | 6.2% | —(n=4) | 50.0% |
| openai | ai | 1 | 6.2% | —(n=4) | 0.0% |
| python | language | 1 | 6.2% | —(n=16) | 43.8% |
| rag | ai | 1 | 6.2% | —(n=1) | 0.0% |
| spring | framework | 1 | 6.2% | —(n=19) | 84.2% |
| sql | language | 1 | 6.2% | -53.1% | 69.6% |
| tensorflow | ai | 1 | 6.2% | —(n=5) | 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 232 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 |
|---|---|---|---|
| iOS Development | 61 | 26.3% | 11.5% |
| Computer Science | 57 | 24.6% | 1.8% |
| Android SDK | 55 | 23.7% | 9.1% |
| Java | 55 | 23.7% | 1.8% |
| iOS | 54 | 23.3% | 5.6% |
| Kotlin | 52 | 22.4% | 1.9% |
| Android Application Development | 46 | 19.8% | 6.5% |
| Design | 35 | 15.1% | 0.0% |
| Android Studio | 33 | 14.2% | 6.1% |
| Application Development | 33 | 14.2% | 3.0% |
| Debugging | 32 | 13.8% | 0.0% |
| Mobile Application Development | 30 | 12.9% | 3.3% |
| Computer Engineering | 29 | 12.5% | 3.4% |
| Information Technology | 28 | 12.1% | 0.0% |
| Ios Applications | 28 | 12.1% | 3.6% |