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DevOps Engineer III

Hiring evidence involving Docker, GitHub Actions, AWS. First observed 21 Oct 2026; the response opens on upwork.com.

Budget
Not provided by source
Work format
Hiring
Observed
21 Oct 20262 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com

Source job details

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

Hiring organization
Ad Hoc
Source reference
OPP-20261021-1883
Location evidence
United States / remote
Employment type
full time
Required skills
AWS, Kubernetes/EKS, Terraform, GitHub Actions, Jenkins, Linux, containers, security
Expected duration
More than 30 hours/week; more than 6 months; official role is full-time

Opportunity summary

DevOps Engineer III. The source classifies this as hiring work involving Docker, GitHub Actions, AWS, AWS + Docker + GitHub Actions. Location or remote eligibility: Remote (US) only; individual applicant; Ukraine/offshore agency route not offered.

Technology and scope

The reported stack is AWS, Kubernetes/EKS, Terraform, GitHub Actions, Jenkins, Linux, containers, security. 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: More than 30 hours/week; more than 6 months; official role is full-time

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 21 Oct 2026, 09:57 UTC. Public since 24 Oct 2026, 00:00 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, Docker appears in 104 of 567 observed opportunities (18.3%). 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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