Senior Devops Engineer

Overview

• Lead the development and operation of advanced DevOps pipelines supporting AI/ML lifecycle processes.
• Collaborate with multidisciplinary teams to deliver scalable, secure, and efficient AI platforms.
• Develop and maintain CI/CD pipelines for AI/ML services and cloud-based infrastructure.
• Automate infrastructure provisioning using Infrastructure as Code tools like Terraform and Kubernetes.
• Ensure reliability, scalability, and observability of AI platforms and workloads.
• Implement security, compliance, and governance requirements for AI systems and processes.
• Support production workloads for Generative AI systems and LLM-based services.
• Document standards, best practices, and processes for DevOps and AI infrastructure.

Key Responsibilities & Duties

• Design and operate scalable DevOps pipelines for model lifecycle automation and deployment.
• Develop cloud-native infrastructure on AWS using Kubernetes and containerized workloads.
• Implement model versioning, artifact management, and experiment tracking systems.
• Ensure system health monitoring, model performance tracking, and drift detection.
• Collaborate with AI/ML engineers to standardize deployment patterns and practices.
• Participate in incident response, troubleshooting, and continuous improvement initiatives.
• Optimize costs for compute-intensive workloads while ensuring scalability and efficiency.
• Document reference architectures and best practices for AI infrastructure and operations.

Job Requirements

• Bachelor of Science degree in a relevant field is required.
• 10+ years of experience in DevOps, SRE, or Platform Engineering roles.
• Proficiency in AWS cloud services, Kubernetes, and CI/CD pipeline development.
• Hands-on experience with Terraform and scripting/programming languages like Python.
• Experience with MLOps platforms, model registries, and experiment tracking systems.
• Exposure to Generative AI workloads and LLM-based services in production environments.
• Strong communication skills and ability to work effectively across teams.
• AWS certifications are preferred but not mandatory.