Hiring
Senior Platform / DevOps Engineer — deployable AI platform
Deadline not provided — verify source
DevOps Platform Engineer — AWS / Kubernetes / EKS
Contract evidence involving AWS, Prometheus, Grafana. First observed 20 Oct 2026; the response opens on freelancermap.de.
- Technology
- AWSPrometheusGrafana
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- DevOps / SRE engineer
- Seniority
- Level not stated
- Observed
- 20 Oct 20262 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- freelancermap.de
Opportunity summary
DevOps Platform Engineer — AWS / Kubernetes / EKS. The source classifies this as contract work involving AWS, Prometheus, Grafana. Location or remote eligibility: Card says 100% remote, but brief requires Cologne attendance by arrangement for key meetings (approximately 90% remote). Official firm works exclusively with vetted/recommended specialists from its DACH network. Ukraine delivery not support.
Technology and scope
The reported stack is AWS EKS, Kubernetes, EC2, VPC, IAM, S3, Lambda, IaC, CI/CD, Grafana, Prometheus, Thanos, CloudWatch. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: 01-Nov-2026 to 31-Dec-2026 initially; 80–100% utilisation; possible extension up to 2 years
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 20 Oct 2026, 05:04 UTC. Public since 22 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, AWS appears in 120 of 622 observed opportunities (19.3%). 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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