Overview

We are seeking a skilled Remote Senior DevOps Engineer to join our Data Platform Team in Mexico. You will design, automate, and manage end-to-end machine learning pipelines and model operations infrastructure on OCI cloud-native platforms. Work closely with data scientists and engineers to drive MLOps best practices across cloud and hybrid environments.

Responsibilities

• Design and implement scalable MLOps pipelines integrated with lakehouse architectures on OCI.
• Automate CI/CD workflows for ML model deployment, monitoring, and governance.
• Build resilient infrastructure using OCI services like OKE, Data Flow, and Artifact Registry.
• Collaborate with data scientists to optimize model training and inference pipelines.
• Implement security best practices and compliance for AI/ML workloads.
• Monitor and troubleshoot production ML systems for performance and reliability.
• Drive adoption of MLOps tools and practices across hybrid environments.
• Mentor junior engineers and contribute to platform architecture evolution.

Qualifications

• 5+ years of DevOps experience with cloud platforms, preferably OCI.
• Strong expertise in Kubernetes, Docker, and CI/CD tools (Jenkins, GitLab CI).
• Experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools (Kubeflow, MLflow).
• Proficiency in Python, Terraform, and infrastructure-as-code practices.
• Knowledge of data platforms (lakehouse, Spark, Delta Lake) and OCI services.
• Excellent problem-solving skills and experience in agile environments.

Benefits

• Fully remote work from Mexico with flexible hours.
• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Professional development budget and certifications (OCI, AWS, etc.).
• Generous PTO, parental leave, and wellness programs.