22 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.
| Technology | Share | Change | Postings |
|---|---|---|---|
| java | 59.1% | +20.3pp | 13 |
| kotlin | 54.5% | +16.5pp | 12 |
Nothing fell this week.
Change is in percentage points of share, not relative percent: a technology going from 1 to 3 postings would otherwise read as +200% and top the board. Boards consider every technology above the bar, not only the 30 the table below shows.
Premium compares the median advertised monthly salary of postings mentioning a technology against the overall median, over the trailing 90 days. Baseline: S$7750, the median of 202 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (202 of 202, 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 |
|---|---|---|---|---|---|
| java | language | 13 | 59.1% | +6.5% | 32.4% |
| kotlin | language | 12 | 54.5% | +6.5% | 26.1% |
| swift | language | 9 | 40.9% | +3.2% | 32.7% |
| cpp | language | 5 | 22.7% | —(n=17) | 58.8% |
| git | tool | 4 | 18.2% | +3.2% | 7.3% |
| javascript | language | 3 | 13.6% | +9.7% | 44.0% |
| jenkins | tool | 3 | 13.6% | —(n=19) | 0.0% |
| llm | ai | 3 | 13.6% | —(n=10) | 30.0% |
| python | language | 3 | 13.6% | —(n=14) | 50.0% |
| sql | language | 3 | 13.6% | -56.1% | 67.9% |
| ansible | tool | 2 | 9.1% | —(n=2) | 0.0% |
| generative-ai | ai | 2 | 9.1% | —(n=6) | 16.7% |
| go | language | 2 | 9.1% | —(n=7) | 57.1% |
| machine-learning | ai | 2 | 9.1% | —(n=9) | 22.2% |
| mssql | database | 2 | 9.1% | -56.1% | 86.4% |
| nodejs | language | 2 | 9.1% | —(n=4) | 50.0% |
| spring | framework | 2 | 9.1% | -56.1% | 90.5% |
| sqlite | database | 2 | 9.1% | -56.1% | 62.5% |
| aws | cloud | 1 | 4.5% | —(n=12) | 8.3% |
| google-cloud | cloud | 1 | 4.5% | —(n=5) | 0.0% |
| grpc | tool | 1 | 4.5% | —(n=7) | 14.3% |
| nlp | ai | 1 | 4.5% | —(n=2) | 50.0% |
| tensorflow | ai | 1 | 4.5% | —(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 202 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 | 61 | 30.2% | 8.2% |
| Java | 55 | 27.2% | 3.6% |
| Kotlin | 53 | 26.2% | 9.4% |
| Android SDK | 51 | 25.2% | 9.8% |
| Android Application Development | 50 | 24.8% | 10.0% |
| iOS Development | 49 | 24.3% | 8.2% |
| Computer Science | 47 | 23.3% | 0.0% |
| Debugging | 39 | 19.3% | 0.0% |
| Android Studio | 33 | 16.3% | 6.1% |
| Application Development | 33 | 16.3% | 3.0% |
| Design | 33 | 16.3% | 0.0% |
| Troubleshooting | 32 | 15.8% | 0.0% |
| Swift (Programming Language) | 27 | 13.4% | 25.9% |
| MySQL | 26 | 12.9% | 0.0% |
| Android | 25 | 12.4% | 12.0% |