16 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 |
|---|---|---|---|
| machine-learning | 75.0% | +26.4pp | 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$12000, the median of 108 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (108 of 108, 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 |
|---|---|---|---|---|---|
| machine-learning | ai | 12 | 75.0% | +4.2% | 0.0% |
| generative-ai | ai | 9 | 56.2% | +0.0% | 0.0% |
| aws | cloud | 8 | 50.0% | -4.2% | 0.0% |
| rag | ai | 7 | 43.8% | -6.2% | 0.0% |
| docker | tool | 6 | 37.5% | -10.4% | 0.0% |
| kubernetes | tool | 6 | 37.5% | -8.3% | 0.0% |
| llm | ai | 6 | 37.5% | -4.2% | 0.0% |
| snowflake | database | 6 | 37.5% | —(n=8) | 0.0% |
| azure | cloud | 5 | 31.2% | +4.2% | 0.0% |
| openai | ai | 5 | 31.2% | -4.2% | 0.0% |
| python | language | 4 | 25.0% | +0.0% | 0.0% |
| google-cloud | cloud | 3 | 18.8% | +2.1% | 0.0% |
| java | language | 3 | 18.8% | —(n=12) | 0.0% |
| javascript | language | 2 | 12.5% | —(n=7) | 0.0% |
| pytorch | ai | 2 | 12.5% | +12.5% | 0.0% |
| tensorflow | ai | 2 | 12.5% | +12.5% | 0.0% |
| terraform | tool | 2 | 12.5% | —(n=4) | 0.0% |
| airflow | tool | 1 | 6.2% | —(n=6) | 0.0% |
| cpp | language | 1 | 6.2% | —(n=8) | 0.0% |
| deep-learning | ai | 1 | 6.2% | —(n=18) | 0.0% |
| expressjs | framework | 1 | 6.2% | —(n=2) | 0.0% |
| fastapi | framework | 1 | 6.2% | —(n=11) | 0.0% |
| github-actions | tool | 1 | 6.2% | —(n=3) | 0.0% |
| go | language | 1 | 6.2% | —(n=5) | 0.0% |
| grafana | tool | 1 | 6.2% | —(n=4) | 0.0% |
| grpc | tool | 1 | 6.2% | —(n=2) | 0.0% |
| jenkins | tool | 1 | 6.2% | —(n=3) | 0.0% |
| kafka | tool | 1 | 6.2% | —(n=7) | 0.0% |
| langchain | ai | 1 | 6.2% | -8.3% | 0.0% |
| llama | ai | 1 | 6.2% | —(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 108 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 |
|---|---|---|---|
| AI Agents | 27 | 25.0% | 3.7% |
| Artificial Intelligence | 24 | 22.2% | 20.8% |
| Computer Science | 24 | 22.2% | 4.2% |
| Ai | 23 | 21.3% | 8.7% |
| LLMs | 19 | 17.6% | 5.3% |
| Python | 18 | 16.7% | 11.1% |
| AI Governance | 17 | 15.7% | 5.9% |
| Computer Engineering | 15 | 13.9% | 0.0% |
| Machine Learning | 14 | 13.0% | 7.1% |
| AWS | 13 | 12.0% | 0.0% |
| Data Science | 13 | 12.0% | 15.4% |
| Generative AI Application Development and Deployment | 13 | 12.0% | 7.7% |
| PyTorch | 13 | 12.0% | 0.0% |
| AI Evaluation | 12 | 11.1% | 0.0% |
| LangGraph | 12 | 11.1% | 0.0% |