Senior MLOps Engineer – AI‑Driven DevOps (Remote LATAM)

About the role

We are looking for a Senior MLOps Engineer to join our remote engineering squad. The role focuses on pioneering AI‑driven automation within DevOps, integrating large language models to create autonomous, self‑healing cloud platforms.

Key responsibilities

• Design and experiment with AI/LLM‑powered workflows that automate complex DevOps tasks.
• Architect, deploy, and optimise scalable Azure cloud infrastructure, including AKS and networking.
• Define and champion Infrastructure as Code (IaC) and CI/CD strategies using Terraform, Bicep, ARM, GitHub Actions or Jenkins.
• Act as a strategic technical advisor, influencing architectural decisions and fostering innovation.
• Conduct deep architectural and code reviews to enhance system reliability, observability and cost‑efficiency.

Required profile

• 7+ years of experience in DevOps, cloud engineering or infrastructure architecture.
• Strong research mindset with ability to design long‑term scalable systems.
• Proven experience working in fully remote, Agile teams.

Required skills

• Azure (AKS, networking, compute, monitoring)
• Infrastructure as Code: Terraform, Bicep, ARM templates
• Automation & scripting: Python, Bash, PowerShell
• CI/CD pipelines: GitHub Actions, Jenkins
• AI/LLM integration into DevOps workflows