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

- **Company:** Revvity, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $200,000 - $235,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Continuous Integration, DevOps, Github, Python (Programming Language), Machine Learning, Ansible, Azure Machine Learning, Data Ingestion, Gitlab-ci, Kubernetes, Machine Learning Operations, Software Coding, Terraform, Software Version Control, Docker, Jenkins
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1f11f5fb5aa820c4

## About the Role

* 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.

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.

## Description

* 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.