Company
Technology
AzureDevOpsEngineer(AI/Agentic)MLOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Azure DevOps Engineer (AI / Agentic) ML Ops Engineer. Skills: DevOps, MLOps, Azure, AI. Drive AI-driven automation initiatives. Design workflows integrating LLMs”
Industry & Context.
Troubleshooting; Optimization
5–6 hours overlap required
What They're Looking For.
Must Have
7+ years of experience in DevOps, 7+ years of experience in Cloud Engineering, 7+ years of experience in Platform Engineering, 7+ years of experience in Infrastructure Architecture, Expertise in Microsoft Azure, Advanced experience with Infrastructure as Code tools, Programming and automation skills in Python, Programming and automation skills in Bash, Programming and automation skills in PowerShell, Practical experience applying AI to DevOps, Practical experience applying AI to engineering workflows, Practical experience applying Large Language Models to DevOps, Practical experience applying Large Language Models to engineering workflows, Expertise in CI/CD tools, Experience working in agile environments, Experience working in fully remote environments, Fluent English communication
Nice to Have
Research and experimentation mindset
What You'll Do.
Drive AI-driven automation initiatives
Design workflows integrating LLMs
Implement workflows integrating LLMs
Design workflows integrating AI tools
Implement workflows integrating AI tools
Reduce operational toil
Improve DevOps efficiency
Architect scalable cloud infrastructure
Deploy scalable cloud infrastructure
Optimize scalable cloud infrastructure
Define CI/CD strategies
Evolve CI/CD strategies
Define Infrastructure as Code strategies
Evolve Infrastructure as Code strategies
Enable robust delivery pipelines
Act as strategic technical advisor
Contribute to architecture decisions
Contribute to system design reviews
Contribute to technical alignment
Improve system observability
Improve system reliability
Improve system cost efficiency
Continuously optimize systems
How You'll Work.
Team & Collaboration
Agile environments; Remote environments
Communication Scope
Fluent English
Process & Methodology
Agile
Full Job Description
## 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 ## Additional Information 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
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