Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US

Revvity Signals Software, Inc. is seeking a Principal DevOps Engineer/Lead to build, maintain, and operate AI infrastructure for its Signals Platform. The role leads AI/ML infrastructure and deployment practices, partnering with researchers and software engineers to deliver reliable, secure, and scalable AI capabilities.

Responsibilities:

• Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
• Build and maintain the continuous integration and continuous deployment (CI/CD) pipelines specifically for AI models, managing everything from data ingestion to model serving and monitoring
• Act as a subject matter expert and mentor for junior engineers, driving the adoption of best practices for AI/ML platform development, code management, and deployment
• Work closely with AI researchers, and software engineers to optimize performance and streamline the end-to-end development and experimentation process
• Ensure the reliability, security, and performance of AI systems
• Stay ahead of industry trends and bring innovative AI solutions to the table

Requirements:

• 5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity
• 5+ years of deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services
• 5+ years of hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker
• 5-8+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads
• 5-8+ years strong coding skills in languages such as Python, Go, or Bash for automation
• Proficiency with tools like Terraform or Ansible to manage and provision infrastructure
• Experience building robust and automated CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins
• Excellent collaboration and communication skills to work effectively with cross-functional technical and business teams