> Markdown version of [/jobs/ext/3909697-cloud-engineer-fully-remote-upto-85-hr](https://www.wearedevelopers.com/jobs/ext/3909697-cloud-engineer-fully-remote-upto-85-hr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud engineer - fully remote | upto $85/hr - **Company:** Mercor - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €14,733.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Cursor, DevOps, Reliability Engineering, Datadog, Google Cloud, Claude Code, AI Coding Agents, Kubernetes, Infrastructure Automation Frameworks, Google Gemini, Terraform - **Published:** October 26, 2026 - **Apply:** https://nl.talent.com/redirect?id=633049212437929736&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-10&puid=edaaadddddadaddgbddc9dd7eddeaddfadaebddc9ddd9dd9bdd7addebda7add9cddd9ddabea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73deegdd7gddcfddb3dec3deegdd93ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=4&xml_batch_generation_id=6aca155f-e161-4967-b6a7-ffdb7f680bce&falcon=1&pid=a145cbbc22c0&bpid=4ed6fc02b4612637a01aab7a99e88488 ## About the Role Must-Have * 2+ years of professional DevOps, SRE, or Cloud Engineering experience. * Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling. * Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. * Ability to evaluate model-generated infrastructure and reliability engineering solutions. Preferred * Experience supporting production-scale systems. ## Description * Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. * Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation. * Identify bugs, edge cases, reliability issues, and failure modes in model outputs. * Compare outputs from multiple frontier models to assess their strengths and weaknesses. * Apply professional engineering judgment to realistic infrastructure engineering scenarios., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.