122 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 |
|---|---|---|---|
| sql | 27.0% | +8.6pp | 33 |
| linux | 21.3% | +0.2pp | 26 |
| Technology | Share | Change | Postings |
|---|---|---|---|
| kubernetes | 9.8% | -7.9pp | 12 |
| aws | 22.1% | -6.4pp | 27 |
| docker | 8.2% | -5.8pp | 10 |
| google-cloud | 9.0% | -5.6pp | 11 |
| azure | 16.4% | -5.1pp | 20 |
| shell | 9.0% | -3.3pp | 11 |
| terraform | 16.4% | -3.2pp | 20 |
| ansible | 8.2% | -1.9pp | 10 |
| python | 16.4% | -1.1pp | 20 |
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$4700, the median of 1168 postings advertising a monthly range — medians pin the unit so the figures are comparable. Separately, 100.0% of SWE postings state pay at all (1168 of 1168, 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 |
|---|---|---|---|---|---|
| sql | language | 33 | 27.0% | +1.1% | 100.0% |
| aws | cloud | 27 | 22.1% | +14.9% | 100.0% |
| linux | tool | 26 | 21.3% | +17.0% | 100.0% |
| azure | cloud | 20 | 16.4% | +14.9% | 100.0% |
| python | language | 20 | 16.4% | +21.3% | 100.0% |
| terraform | tool | 20 | 16.4% | +17.0% | 100.0% |
| kubernetes | tool | 12 | 9.8% | +17.0% | 100.0% |
| google-cloud | cloud | 11 | 9.0% | +17.0% | 100.0% |
| shell | language | 11 | 9.0% | +19.1% | 100.0% |
| ansible | tool | 10 | 8.2% | +23.4% | 100.0% |
| docker | tool | 10 | 8.2% | +17.0% | 100.0% |
| mssql | database | 8 | 6.6% | -4.3% | 100.0% |
| grafana | tool | 7 | 5.7% | +19.1% | 100.0% |
| prometheus | tool | 6 | 4.9% | +22.3% | 100.0% |
| ruby | language | 6 | 4.9% | +24.5% | 100.0% |
| git | tool | 4 | 3.3% | +23.4% | 100.0% |
| github-actions | tool | 4 | 3.3% | +23.4% | 100.0% |
| gitlab-ci | tool | 4 | 3.3% | +17.0% | 100.0% |
| jenkins | tool | 4 | 3.3% | +23.4% | 100.0% |
| csharp | language | 3 | 2.5% | —(n=19) | 100.0% |
| mongodb | database | 3 | 2.5% | +23.4% | 100.0% |
| aliyun | cloud | 2 | 1.6% | -99.6% | 100.0% |
| elasticsearch | database | 2 | 1.6% | —(n=11) | 100.0% |
| java | language | 2 | 1.6% | -4.3% | 100.0% |
| llm | ai | 2 | 1.6% | —(n=17) | 100.0% |
| mysql | database | 2 | 1.6% | +23.4% | 100.0% |
| openai | ai | 2 | 1.6% | —(n=14) | 100.0% |
| postgresql | database | 2 | 1.6% | +23.4% | 100.0% |
| cpp | language | 1 | 0.8% | —(n=18) | 100.0% |
| datadog | tool | 1 | 0.8% | +23.4% | 100.0% |
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 1168 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 |
|---|---|---|---|
| Information Technology | 227 | 19.4% | 1.3% |
| Computer Science | 164 | 14.0% | 0.6% |
| AWS | 160 | 13.7% | 21.2% |
| Computer Engineering | 136 | 11.6% | 0.7% |
| Troubleshooting | 128 | 11.0% | 4.7% |
| Kubernetes | 124 | 10.6% | 35.5% |
| Cloud Infrastructure | 122 | 10.4% | 7.4% |
| Networking | 122 | 10.4% | 11.5% |
| Docker | 116 | 9.9% | 14.7% |
| Linux | 114 | 9.8% | 12.3% |
| SQL | 99 | 8.5% | 9.1% |
| Microsoft Excel | 93 | 8.0% | 0.0% |
| Infrastructure as Code (IaC) | 91 | 7.8% | 14.3% |
| Analytical and Problem-Solving Skills | 86 | 7.4% | 1.2% |
| Able To Work Independently | 83 | 7.1% | 0.0% |