Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-06-23 → 2026-09-20, 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 11229 0.11 100.0% (112/112)
RECRUIT EXPERT PTE. LTD.Other 5532 0.06 100.0% (55/55)
TALENTSIS PTE. LTD.Startup 5016 0.38 100.0% (50/50)
TIKTOK PTE. LTD.Local Tech 4917 0.50 100.0% (49/49)
SCIENTEC CONSULTING PTE. LTD.Consulting 4620 0.38 100.0% (46/46)
ITCAN PTE. LIMITEDLocal Tech 4112 0.21 100.0% (41/41)
RECRUIT EXPRESS PTE LTDOther 3711 0.30 100.0% (37/37)
USER EXPERIENCE RESEARCHERS PTE. LTD.Consulting 3616 0.48 100.0% (36/36)
RANDSTAD PTE. LIMITEDOther 3015 0.83 100.0% (30/30)
ENCORA TECHNOLOGIES PTE. LTD.Local Tech 297 0.50 100.0% (29/29)
DYNAMIC HUMAN CAPITAL PTE. LTD.Other 2826 0.42 100.0% (28/28)
THE SUPREME HR ADVISORY PTE. LTD.Startup 2622 0.05 100.0% (26/26)
AVENSYS CONSULTING PTE. LTD.Consulting 254 0.17 100.0% (25/25)
APAR TECHNOLOGIES PTE. LTD.Consulting 246 0.30 100.0% (24/24)
PERSOL SINGAPORE PTE. LTD.Other 246 0.40 100.0% (24/24)
BYTEDANCE PTE. LTD.Local Tech 238 0.30 100.0% (23/23)
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 237 1.25 100.0% (23/23)
JPMORGAN CHASE BANK, N.A.Bank & FinTech 236 1.38 100.0% (23/23)
ZENITH INFOTECH (S) PTE LTD.Local Tech 226 0.33 100.0% (22/22)
DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.Other 214 0.55 100.0% (21/21)
TRINITY CONSULTING SERVICES PTE. LTD.Consulting 2115 0.62 100.0% (21/21)
U3 INFOTECH PTE. LTD.Consulting 217 0.44 100.0% (21/21)
AIRWALLEX (SINGAPORE) PTE. LTD.Bank & FinTech 207 0.89 100.0% (20/20)
AXXIS CONSULTING (S) PTE. LTD.Consulting 200 0.31 100.0% (20/20)
AXXIS TECHNOLOGIES (S) PTE. LTD.Consulting 200 0.31 100.0% (20/20)

By employer type

Other931Consulting849Local Tech317Startup189Bank & FinTech91MNC38Government18

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
1,526
Postings measured
907
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 907 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 days664.3%
15-30 days70446.1%
30-60 days75649.5%
60+ days00.0%

Postings worth a second look

Of 907 postings on the board, 0.0% have been listed over 60 days (0) and 16.0% have been reposted at least once (145). 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
Backend2433 0.40 6.10 8.4%

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.