Ops Engineer (Remote US)

Revvity•Waltham, MA

1d•$160,000 - $190,000•Remote

About The Position

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 Sr. Principal AI/ML Dev/Ops Engineer We are seeking a senior principal-level full stack engineer working within the R&D organization that can build and operate the infrastructure to manage the deployment of artificial intelligence (AI) and machine learning (ML) models. You will be responsible for bridging the gap between ML Model researchers, and traditional software development teams to ensure ML 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.

Requirements

8+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity.

Nice To Haves

Deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services.
Hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker.
Deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads.
Strong coding skills in languages such as Python, Go, or Bash for automation.
Demonstrable experience in using AI development tooling (Claude, Cursor, CoPilot)
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 diverse technical and business teams.

Responsibilities

Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
Full stack engineer to design and develop scalable SaaS application and services
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.