4 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.
needs 5 weeks of history · have 4 — momentum compares the reported week against the 4 completed weeks before it.
Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$9250, the median of 46 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (46 of 46, 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 | 2 | 50.0% | +2.7% | 0.0% |
| aws | cloud | 1 | 25.0% | —(n=4) | 0.0% |
| computer-vision | ai | 1 | 25.0% | —(n=1) | 0.0% |
| generative-ai | ai | 1 | 25.0% | —(n=2) | 0.0% |
| git | tool | 1 | 25.0% | —(n=18) | 0.0% |
| github-actions | tool | 1 | 25.0% | —(n=6) | 0.0% |
| java | language | 1 | 25.0% | +0.0% | 0.0% |
| langchain | ai | 1 | 25.0% | —(n=1) | 0.0% |
| llama | ai | 1 | 25.0% | —(n=1) | 0.0% |
| llm | ai | 1 | 25.0% | —(n=2) | 0.0% |
| nlp | ai | 1 | 25.0% | —(n=1) | 0.0% |
| openai | ai | 1 | 25.0% | —(n=1) | 0.0% |
| python | language | 1 | 25.0% | —(n=1) | 0.0% |
| rag | ai | 1 | 25.0% | —(n=1) | 0.0% |
| react | framework | 1 | 25.0% | —(n=9) | 0.0% |
| sqlite | database | 1 | 25.0% | —(n=6) | 0.0% |
| swift | language | 1 | 25.0% | +0.0% | 0.0% |
| tensorflow | ai | 1 | 25.0% | —(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 46 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 |
|---|---|---|---|
| Computer Science | 20 | 43.5% | 0.0% |
| Kotlin | 16 | 34.8% | 0.0% |
| Android SDK | 14 | 30.4% | 28.6% |
| RESTful API | 14 | 30.4% | 7.1% |
| Android Application Development | 13 | 28.3% | 0.0% |
| Android Studio | 13 | 28.3% | 0.0% |
| Design | 13 | 28.3% | 0.0% |
| JSON | 11 | 23.9% | 9.1% |
| Mobile Application Development | 11 | 23.9% | 0.0% |
| Java | 10 | 21.7% | 0.0% |
| Rest Apis | 10 | 21.7% | 0.0% |
| Computer Engineering | 9 | 19.6% | 0.0% |
| React Native | 9 | 19.6% | 0.0% |
| UI | 9 | 19.6% | 0.0% |
| Data Encryption | 8 | 17.4% | 0.0% |