Senior MLOps Engineer
New
Fully remote opportunity across Latin America, EST (5–6 hours overlap required)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- 7+ years
- Required Skills
- PythonBashMicrosoft AzureCI/CDTerraform
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.
Responsibilities
- 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.
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