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.
Accountabilities:
- 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
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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