ML Infrastructure) - Remote US

Revvity•US Remote - MA, MA

2d•$200,000 - $235,000•Remote

About The Position

Revvity Signals is seeking a senior-level technical expert in its R&D organization to build, maintain, and operate AI infrastructure for the Signals Platform. The Principal DevOps Engineer/Lead will integrate and orchestrate the lifecycle of AI and machine-learning projects, bridging AI researchers and software development teams so models can be built, tested, and deployed reliably at scale. The role combines DevOps principles, software engineering, and AI/ML infrastructure expertise, with an emphasis on automation, scalability, and security. The position works closely with a dedicated team of developers building AI capabilities into the product. It involves leading the design and implementation of resilient infrastructure, creating and maintaining model-focused CI/CD pipelines, and supporting the end-to-end workflow from data ingestion through model serving and monitoring. The role also provides technical guidance and mentorship, collaborates with researchers and engineers to improve performance and experimentation workflows, and ensures AI systems are reliable, secure, and performant. This is a full-time remote position for candidates in the United States. Working hours are Eastern Time, and candidates must be able to interview in person at the company headquarters in Waltham, Massachusetts. The base salary range is $200,000–$235,000; the actual offer may vary based on internal equity, work location, skills, experience, and education or training. The compensation range excludes any applicable bonuses, equity, or other benefits.

Requirements

At least 5 years of experience in DevOps, ML infrastructure, or platform engineering, including several years in a senior or leadership capacity.
At least 5 years of deep, expert-level knowledge of at least one major cloud provider, such as AWS, Azure, or GCP, including its AI/ML and containerization services.
At least 5 years of hands-on experience with ML orchestration and platform tools such as 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 of strong coding skills in languages such as Python, Go, or Bash.
Must be a US-based remote candidate.
Must be able to interview in person at the headquarters in Waltham, Massachusetts.
Provide a valid LinkedIn profile and work links with the resume.

Nice To Haves

Proficiency with Terraform or Ansible for infrastructure management and provisioning.
Experience building robust, automated CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, or Jenkins.
Excellent collaboration and communication skills for working with cross-functional technical and business teams.

Responsibilities

Architect, design, and lead implementation of scalable, secure, and resilient infrastructure for AI/ML workloads.
Build and maintain CI/CD pipelines for AI models, covering data ingestion, model serving, and monitoring.
Serve as a subject matter expert and mentor junior engineers, promoting best practices for AI/ML platform development, code management, and deployment.
Collaborate with AI researchers and software engineers to optimize performance and streamline development and experimentation.
Ensure the reliability, security, and performance of AI systems.
Track industry trends and bring innovative AI solutions to the team.