Lead AI/ML Infra DevOps Architect (Remote Canada)

Revvity; Canada; Remote; CAD 130,000 - 165,000; Full time

Job summary

Revvity is seeking a Principal DevOps Engineer (AI/ML Infrastructure) to architect and operate scalable AI/ML infrastructure within the Signals Platform. You will bridge AI researchers and software engineers, driving automated pipelines from data ingestion to model serving while ensuring security and reliability.

The role emphasizes collaboration with a strong DevOps and software engineering focus, mentoring peers, and staying ahead of industry trends. Remote Canada-based with EST hours.

Qualifications

• 5+ years in DevOps, ML Infrastructure, or Platform Engineering with senior/leadership experience.
• 5+ years with AWS, Azure, or GCP including AI/ML and container services.
• 5+ years with ML orchestration tools like Kubeflow, MLflow, or SageMaker.
• 5-8+ years with Docker and Kubernetes for AI/ML workloads.
• 5-8+ years coding in Python, Go, or Bash for automation.

Responsibilities

• Architect, design, and lead scalable, secure AI/ML infrastructure.
• Build and maintain CI/CD pipelines for AI models from data ingestion to model serving and monitoring.
• Mentor junior engineers and promote best practices for AI/ML platform development and deployment.
• Collaborate with AI researchers and software engineers to optimize performance and end-to-end workflows.
• Ensure reliability, security, and performance of AI systems.
• Stay ahead of industry trends and introduce innovative AI solutions.

Skills

Senior leadership

AI/ML infrastructure

Cloud platforms (AWS/Azure/GCP)

ML orchestration tools (Kubeflow/MLflow

Docker & Kubernetes

Programming (Python/Go/Bash)

Tools

Terraform

Ansible

GitHub Actions

GitLab CI/CD

Jenkins

Job description

Revvity is seeking a Principal DevOps Engineer (AI/ML Infrastructure) to architect and operate scalable AI/ML infrastructure within the Signals Platform. You will bridge AI researchers and software engineers, driving automated pipelines from data ingestion to model serving while ensuring security and reliability.

The role emphasizes collaboration with a strong DevOps and software engineering focus, mentoring peers, and staying ahead of industry trends. Remote Canada-based with EST hours.