DevOps / MLOps Engineer

Overview

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We are looking for a Senior DevOps / MLOps Engineer to design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production.

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• Working model: Hybrid
  

Responsibilities

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• Design and operate DevOps and MLOps platforms
  
• Build CI/CD and ML pipeline templates
  
• Automate ML lifecycle from training to deployment and monitoring
  
• Manage Kubernetes and cloud infrastructure
  
• Enforce security, compliance, and IaC standards
  
• Improve reliability, scalability, and observability
  
• Participate in on-call rotation and incident response
  

Qualifications

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• Bachelor’s degree or equivalent experience
  
• 7+ years experience in DevOps / Platform Engineering
  
• Strong AWS experience (EC2, EKS, Lambda, VPC, IAM, S3)
  
• Kubernetes and Terraform expertise
  
• CI/CD experience (GitLab, GitHub Actions)
  
• Python and scripting skills. xysqume MLOps Skills (Preferred)
  
• Model serving, monitoring, and drift detection
  
• Data pipelines and ML governance. Certifications (Preferred)
  
• AWS Solutions Architect
  
• Ownership and autonomy
  
• Passion for automation and AI platforms
  
• Strong collaboration and communication skills