Senior DevOps Engineer — AI/ML Infra (Remote Canada)

revvity; United States; Remote; USD 91,000 - 116,000; Full time

Job summary

revvity is seeking a Senior Engineer to lead the design and operation of infrastructure for AI and ML within a scientific software platform. The role unites research and software engineering to enable reliable model building, testing, deployment, and monitoring at scale.

You will architect scalable, secure infra; push for robust CI/CD pipelines across data ingestion, deployment, serving, and monitoring; and mentor junior engineers while aligning platform practices with research goals.

Qualifications

• Minimum 5 years in DevOps, ML infrastructure, or platform engineering with leadership experience.
• Deep experience with a major cloud provider and its AI/ML and container services.
• Hands-on with ML orchestration platforms such as Kubeflow, MLflow, or SageMaker.
• Strong automation skills in Python, Go, or Bash.
• Excellent collaboration with researchers and engineers.

Responsibilities

• Architect and implement scalable, secure infrastructure for AI and ML workloads.
• Build and maintain model-focused CI/CD pipelines spanning data ingestion, deployment, serving, and monitoring.
• Partner with AI researchers and software engineers to improve system performance and streamline experimentation and delivery.
• Guide platform development and deployment practices, and mentor less experienced engineers.
• Maintain the reliability, security, and performance of AI systems.
• Track relevant developments and assess new approaches for the platform.

Skills

Leadership experience

DevOps

ML infra

Platform engineering

Cloud services

Collaboration

Tools

Docker

Kubernetes

Kubeflow

MLflow

SageMaker

Terraform

Ansible

GitHub Actions

GitLab CI/CD

Jenkins

Job description

revvity is seeking a Senior Engineer to lead the design and operation of infrastructure for AI and ML within a scientific software platform. The role unites research and software engineering to enable reliable model building, testing, deployment, and monitoring at scale.

You will architect scalable, secure infra; push for robust CI/CD pipelines across data ingestion, deployment, serving, and monitoring; and mentor junior engineers while aligning platform practices with research goals.