Principal DevOps Engineer​/Lead; AI​/ML Infrastructure; Remote

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity Revvity Signals makes market-leading software that empowers scientists across Life Science R&D, clinical research, and specialty chemicals to make better medicines and products, faster. Our flagship offering is the SaaS Signals Research Platform that provides knowledge capture, collaboration, analysis and visualization tools across the full depth and breadth of scientific discovery workflows. The viral adoption of our software is accelerating innovation, expediting drug development for a healthier world and facilitating the creation of sustainable materials.

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity.

• 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

• 5+ years of experience in Dev Ops, 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 Sage Maker
• 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 Git Hub Actions, Git Lab CI/CD, or Jenkins
• Excellent collaboration and communication skills to work effectively with cross-functional technical and business teams

The working hours for this position will be EST. Remote US Candidates, only. Candidates must have the capability to Interview In-Person at our Headquarters in Waltham, MA USA. The base salary range for this full-time position is $200,000 - $235,000. This range reflects the minimum and maximum target for a new hire in this position. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors,…