Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · 3-5 yrs · Backend
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Who is posting

Grouped by UEN, Singapore's legal-entity number — two spellings of one employer are one row. Per-employer figures are withheld below 5 postings: one posting's applicant count is not a company's character, and a disclosure rate over three postings says nothing about its policy. "Applications/day" divides each posting's applicant count by how long it had been listed, then takes the median across the employer's postings.

EmployerTypePostingsOn board nowApplications/dayStates pay
ABEAM CONSULTING (SINGAPORE) PTE. LTD.Consulting 10526 0.07 100.0% (105/105)
RECRUIT EXPERT PTE. LTD.Other 589 0.04 100.0% (58/58)
SCIENTEC CONSULTING PTE. LTD.Consulting 5216 0.43 100.0% (52/52)
RECRUIT EXPRESS PTE LTDOther 476 0.16 100.0% (47/47)
ENCORA TECHNOLOGIES PTE. LTD.Local Tech 424 0.54 100.0% (42/42)
TALENTSIS PTE. LTD.Startup 419 0.35 100.0% (41/41)
TIKTOK PTE. LTD.Local Tech 365 0.38 100.0% (36/36)
ITCAN PTE. LIMITEDLocal Tech 3511 0.25 100.0% (35/35)
RANDSTAD PTE. LIMITEDOther 3517 0.56 100.0% (35/35)
THE SUPREME HR ADVISORY PTE. LTD.Startup 357 0.08 100.0% (35/35)
ZENITH INFOTECH (S) PTE LTD.Local Tech 3411 0.33 100.0% (34/34)
USER EXPERIENCE RESEARCHERS PTE. LTD.Consulting 336 0.31 100.0% (33/33)
A*STAR RESEARCH ENTITIESOther 3014 0.08 100.0% (30/30)
AXXIS CONSULTING (S) PTE. LTD.Consulting 299 0.25 100.0% (29/29)
AXXIS TECHNOLOGIES (S) PTE. LTD.Consulting 299 0.33 100.0% (29/29)
DYNAMIC HUMAN CAPITAL PTE. LTD.Other 293 0.38 100.0% (29/29)
AVENSYS CONSULTING PTE. LTD.Consulting 286 0.20 100.0% (28/28)
DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.Other 286 0.33 100.0% (28/28)
PERSOL SINGAPORE PTE. LTD.Other 284 0.40 100.0% (28/28)
U3 INFOTECH PTE. LTD.Consulting 281 0.42 100.0% (28/28)
TRINITY CONSULTING SERVICES PTE. LTD.Consulting 277 0.41 100.0% (27/27)
APAR TECHNOLOGIES PTE. LTD.Consulting 262 0.27 100.0% (26/26)
JOBLINE RESOURCES PTE. LTD.Other 242 0.12 100.0% (24/24)
JPMORGAN CHASE BANK, N.A.Bank & FinTech 243 1.33 100.0% (24/24)
BYTEDANCE PTE. LTD.Local Tech 231 0.30 100.0% (23/23)

By employer type

Other1171Consulting1000Local Tech363Startup234Bank & FinTech92MNC44Government21

Type is derived from the company's SSIC industry code and headcount, not self-declared — read it as a bucket, not a badge.

2. How long postings stay up

30 days
Median, closed postings
2,929
Postings measured
873
Still up, not measured

This is how long closed postings stayed up — not how long a posting lasts. A posting still on the board has no end date, so it cannot be counted, and the ones that linger are exactly the ones missing. The figure therefore runs short, and the 873 still up are the size of what it cannot see. Resolution is one day: collection is a daily batch.

Listed forPostingsShare
<7 days00.0%
7-14 days1123.8%
15-30 days139947.8%
30-60 days141848.4%
60+ days00.0%

Postings worth a second look

Of 787 postings on the board, 0.0% have been listed over 60 days (0) and 12.1% have been reposted at least once (95). Signals, not verdicts — a genuinely hard-to-fill role looks the same from outside as a listing nobody intends to close.

3. How contested

Median applications and views per day, by discipline, over the trailing 90 days. Both counters are cumulative totals read at collection time, so they are divided by how long each posting had been listed — otherwise the figure measures how old a posting is rather than how contested. Withheld below 5 postings.

DisciplinePostingsApplications/dayViews/dayApply rate
Backend2925 0.40 6.71 8.0%

These are snapshots, not trends. Each collection overwrites the view and application counters, so no history is kept — "applications this week" and "competition over time" are questions this system cannot answer, and nothing here should be read as movement.

Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.