Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · 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 21850 0.10 100.0% (218/218)
TALENTSIS PTE. LTD.Startup 11642 0.46 100.0% (116/116)
PERSOL SINGAPORE PTE. LTD.Other 10814 0.30 100.0% (108/108)
RECRUIT EXPERT PTE. LTD.Other 8917 0.07 100.0% (89/89)
TIKTOK PTE. LTD.Local Tech 8919 0.33 100.0% (89/89)
RECRUIT EXPRESS PTE LTDOther 8314 0.18 100.0% (83/83)
SCIENTEC CONSULTING PTE. LTD.Consulting 7523 0.48 100.0% (75/75)
ITCAN PTE. LIMITEDLocal Tech 7218 0.25 100.0% (72/72)
ENCORA TECHNOLOGIES PTE. LTD.Local Tech 719 0.50 100.0% (71/71)
OPTIMUM SOLUTIONS (SINGAPORE) PTE LTDConsulting 6515 0.31 100.0% (65/65)
THE SUPREME HR ADVISORY PTE. LTD.Startup 649 0.04 100.0% (64/64)
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 595 1.75 100.0% (59/59)
AVENSYS CONSULTING PTE. LTD.Consulting 5712 0.25 100.0% (57/57)
RANDSTAD PTE. LIMITEDOther 5622 0.44 100.0% (56/56)
ANRADUS PTE. LTD.Other 544 0.33 100.0% (54/54)
TRINITY CONSULTING SERVICES PTE. LTD.Consulting 5422 0.46 100.0% (54/54)
A*STAR RESEARCH ENTITIESOther 5120 0.08 100.0% (51/51)
COMBUILDER PTE LTDConsulting 517 0.67 100.0% (51/51)
EVYONIC SOLUTIONS PTE. LTD.Other 512 0.22 100.0% (51/51)
EXASOFT CONSULTING PTE. LTD.Consulting 460 0.22 100.0% (46/46)
DYNAMIC HUMAN CAPITAL PTE. LTD.Other 453 0.35 100.0% (45/45)
RECRUITPEDIA PTE. LTD.Other 4511 0.08 100.0% (45/45)
BYTEDANCE PTE. LTD.Local Tech 433 0.20 100.0% (43/43)
U3 INFOTECH PTE. LTD.Consulting 433 0.44 100.0% (43/43)
ZENITH INFOTECH (S) PTE LTD.Local Tech 4312 0.42 100.0% (43/43)

By employer type

Other2567Consulting2025Local Tech765Startup458Bank & FinTech190MNC83Government50

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
6,186
Postings measured
1,842
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 1,842 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 days2544.1%
15-30 days304549.2%
30-60 days288746.7%
60+ days00.0%

Postings worth a second look

Of 1,623 postings on the board, 0.0% have been listed over 60 days (0) and 15.0% have been reposted at least once (244). 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
Backend6138 0.40 6.81 8.3%

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.