78 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.
| Technology | Share | Change | Postings |
|---|---|---|---|
| github-actions | 19.2% | +17.2pp | 15 |
| jenkins | 16.7% | +16.3pp | 13 |
| aws | 41.0% | +11.6pp | 32 |
| docker | 41.0% | +6.1pp | 32 |
| git | 26.9% | +5.8pp | 21 |
| computer-vision | 20.5% | +5.2pp | 16 |
| deep-learning | 26.9% | +4.7pp | 21 |
| python | 89.7% | +4.2pp | 70 |
| tensorflow | 33.3% | +1.6pp | 26 |
| pytorch | 41.0% | +1.1pp | 32 |
| Technology | Share | Change | Postings |
|---|---|---|---|
| generative-ai | 24.4% | -13.3pp | 19 |
| kubernetes | 16.7% | -11.7pp | 13 |
| google-cloud | 20.5% | -6.1pp | 16 |
| machine-learning | 61.5% | -4.6pp | 48 |
| azure | 28.2% | -4.3pp | 22 |
| openai | 17.9% | -2.8pp | 14 |
| sql | 25.6% | -2.7pp | 20 |
| langchain | 17.9% | -1.9pp | 14 |
| nlp | 17.9% | -1.8pp | 14 |
| javascript | 14.1% | -1.2pp | 11 |
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$8500, the median of 809 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (809 of 809, 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 |
|---|---|---|---|---|---|
| python | language | 70 | 89.7% | -5.9% | 28.8% |
| machine-learning | ai | 48 | 61.5% | +2.9% | 31.4% |
| llm | ai | 47 | 60.3% | +0.0% | 24.6% |
| rag | ai | 39 | 50.0% | -2.9% | 21.0% |
| aws | cloud | 32 | 41.0% | +5.9% | 16.7% |
| docker | tool | 32 | 41.0% | -12.9% | 15.4% |
| pytorch | ai | 32 | 41.0% | -11.8% | 30.7% |
| tensorflow | ai | 26 | 33.3% | -11.8% | 34.2% |
| azure | cloud | 22 | 28.2% | -5.9% | 15.2% |
| deep-learning | ai | 21 | 26.9% | +2.9% | 35.4% |
| git | tool | 21 | 26.9% | -14.7% | 32.8% |
| sql | language | 20 | 25.6% | -11.8% | 20.0% |
| generative-ai | ai | 19 | 24.4% | +5.9% | 20.8% |
| computer-vision | ai | 16 | 20.5% | -17.6% | 52.6% |
| google-cloud | cloud | 16 | 20.5% | -5.9% | 19.6% |
| github-actions | tool | 15 | 19.2% | +11.8% | 3.1% |
| langchain | ai | 14 | 17.9% | -5.9% | 28.8% |
| nlp | ai | 14 | 17.9% | +17.6% | 39.3% |
| openai | ai | 14 | 17.9% | -5.9% | 17.3% |
| jenkins | tool | 13 | 16.7% | +11.8% | 0.0% |
| kubernetes | tool | 13 | 16.7% | +2.9% | 15.7% |
| javascript | language | 11 | 14.1% | -14.7% | 15.8% |
| cpp | language | 10 | 12.8% | +35.3% | 51.5% |
| java | language | 9 | 11.5% | +29.4% | 26.4% |
| scikit-learn | ai | 8 | 10.3% | -14.7% | 30.2% |
| terraform | tool | 8 | 10.3% | +14.7% | 14.3% |
| airflow | tool | 6 | 7.7% | +23.5% | 20.0% |
| react | framework | 6 | 7.7% | -14.7% | 20.0% |
| nodejs | language | 5 | 6.4% | -14.7% | 7.1% |
| spark | framework | 5 | 6.4% | +20.6% | 13.6% |
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 809 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 | 247 | 30.5% | 6.9% |
| Python | 242 | 29.9% | 14.5% |
| Machine Learning | 195 | 24.1% | 13.3% |
| Artificial Intelligence | 175 | 21.6% | 17.1% |
| PyTorch | 168 | 20.8% | 7.7% |
| AI Agents | 165 | 20.4% | 7.3% |
| TensorFlow | 149 | 18.4% | 4.0% |
| Ai | 145 | 17.9% | 6.9% |
| Data Science | 134 | 16.6% | 10.4% |
| LLMs | 112 | 13.8% | 14.3% |
| Design | 103 | 12.7% | 0.0% |
| Computer Engineering | 89 | 11.0% | 5.6% |
| Programming | 82 | 10.1% | 1.2% |
| AWS | 76 | 9.4% | 10.5% |
| C++ | 74 | 9.1% | 0.0% |