Cloud & Devops Engineer - Hybrid, Iac & Ci/Cd

Capgemini; Vila Nova da Barquinha; Remoto; EUR 63.000 - 105.000; Tempo pieno

Descrizione del lavoro

Mercor is seeking a Cloud Engineer for fully remote work to leverage frontier AI coding agents in completing complex infrastructure tasks. You will review model-driven outputs across cloud platforms and Kubernetes, ensuring reliability with CI/CD and observability tooling.

The role emphasizes hands-on evaluation of AI-generated infrastructure solutions. The ideal candidate has 2+ years in DevOps/SRE/Cloud, experience with AWS/Azure/GCP, Kubernetes, Terraform, and CI/CD.

Competenze

• 2+ years of professional DevOps/SRE/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.

Mansioni

• 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.

Conoscenze

DevOps

SRE

Cloud Engineering

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD

Observability

AI coding agents

Strumenti

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Descrizione del lavoro

Cloud Engineer - Fully Remote | Upto $85/hr

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Responsibilities

• 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.

Qualifications

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.
• $400 per accepted task
• Compensation tied to accepted work.