DevOps / MLOps Engineer

Overview

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.

• Working model: Hybrid

Responsibilities

• 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

• 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. 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