Azure DevOps Engineer (AI / Agentic) ML Ops Engineer in Brazil, Indiana at Jobgether
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Job Description
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