Azure DevOps Engineer (AI / Agentic) ML Ops Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior MLOps Engineer (DevOps AI / Agentic Focus) based in Brazil.

This role sits at the intersection of cloud engineering, DevOps, and applied AI, with a strong emphasis on building intelligent, autonomous infrastructure systems.
You will contribute to a high-impact engineering environment focused on evolving traditional DevOps into AI-driven platform engineering.
The work goes beyond standard pipeline management, pushing toward self-healing, scalable, and highly automated cloud ecosystems.
You will play a strategic role in shaping architecture and introducing LLM-powered automation into real-world infrastructure workflows.
The environment is remote-first, collaborative, and aligned with North American time zones, requiring strong communication and autonomy.
This is an opportunity to influence system design at scale while working on cutting-edge automation and cloud innovation.

• Drive AI-driven automation initiatives by designing and implementing workflows that integrate LLMs and AI tools to reduce operational toil and improve DevOps efficiency.
• Architect, deploy, and optimize scalable cloud infrastructure on Microsoft Azure, ensuring performance, security, and reliability.
• Define and evolve CI/CD and Infrastructure as Code strategies using modern tools to enable robust delivery pipelines.
• Act as a strategic technical advisor, contributing to architecture decisions, system design reviews, and technical alignment.
• Improve system observability, reliability, and cost efficiency through monitoring, reviews, and continuous optimization.

Requirements:

• 7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Architecture.
• Strong expertise in Microsoft Azure, including AKS, networking, compute, and native monitoring tools.
• Advanced experience with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates.
• Strong programming and automation skills in Python, Bash, or PowerShell.
• Practical experience applying AI or Large Language Models to DevOps or engineering workflows.
• Expertise in CI/CD tools such as GitHub Actions or Jenkins.
• Strong research and experimentation mindset focused on scalable system design.
• Experience working in agile, fully remote environments with fluent English communication.

Benefits:

• Fully remote opportunity across Latin America
• Long-term international engineering projects
• Exposure to AI-driven DevOps and platform engineering innovation
• Collaborative and innovation-focused environment
• Flexible schedule aligned with EST (5–6 hours overlap required)
• Opportunity to work on advanced cloud and automation challenges