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Drupal / Acquia Cloud Engineer — December EOL remediation

Hiring evidence involving Drupal. First observed 19 Oct 2026; the response opens on linkedin.com.

Technology
Drupal
Budget
Not provided by source
Work format
Hiring
Observed
19 Oct 202625 hours old
Deadline status
Deadline not provided — verify source
Response destination
linkedin.com

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
Mindlance / undisclosed client
Source reference
OPP-20261019-1732
Location evidence
United States remote; maintenance timezone not stated
Employment type
contractor
Required skills
Drupal; Acquia Cloud; PHP; upgrades; regression/integration testing; production support
Expected duration
6 months; hours not published

Opportunity summary

Drupal / Acquia Cloud Engineer — December EOL remediation. The source classifies this as hiring work involving Drupal. Location or remote eligibility: US-labelled remote; Ukraine B2B/named-candidate eligibility not established.

Technology and scope

The reported stack is Drupal; Acquia Cloud; PHP; upgrades; regression/integration testing; production support. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Hiring: an employment-oriented search for an individual contributor or team member. Source timing: 6 months; hours not published

Budget

Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.

Dates and availability

First observed by Leadiy on 19 Oct 2026, 17:57 UTC. Public since 20 Oct 2026, 18:30 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.

Related market context

In the current 30-day Hiring Pulse, Drupal appears in 92 of 568 observed opportunities (16.2%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.

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