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

Job Title Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US US Remote - MA About Us 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. 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. Join us as a Principal DevOps Engineer/Lead (AI/ML Infrastructure) ,where you'll play a pivotal role building out, maintaining and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experience developers building out AI capabilities within our product. We are seeking a senior-level technical expert working within the R&D organization, who integrates and orchestrates the entire lifecycle of artificial intelligence (AI) and machine learning (ML) projects. You will be responsible for bridging the gap between AI researchers, and traditional software development teams to ensure AI models are reliably built, tested, and deployed into production at scale. This role requires a blend of deep expertise in DevOps principles, software engineering, and AI/ML infrastructure, with a strong focus on automation, scalability, and security. 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 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. Experience building robust and automated CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Remote US Candidates, only. Please include a valid LinkedIn profile and added work links, to your resume. Fraud Prevention Notice : We are committed to a fair and transparent hiring process. Any use of impersonation, falsified identities, or AI-generated deepfakes will result in immediate disqualification from consideration. 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, including job-related skills, experience, and relevant education or training. This base pay range does not take into account bonuses, equity, or other benefits which may be applicable and are dependent on the level and position offered. #Medical, Dental, and Vision Insurance Options

• Life and Disability Insurance
• Employee Stock Purchase Plan

Part-time and temporary roles may not be eligible for all benefits listed. All qualified applicants will receive consideration for employment without regard to any characteristic or status protected by applicable federal, state, and/or local laws. If you are an applicant with a disability that requires reasonable accommodation to complete any part of the application process or are limited in the ability—or unable to use—the online application system and need an alternative method for applying, you may contact View email address on click.appcast.io.