Remote Principal DevOps Engineer - AI/ML Infrastructure

USQ0 Revvity Signals Software, Inc.; Massachusetts; Hybride; USD 200 000 - 235 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, and Vision Insurance

Life and Disability Insurance

Paid Time-Off

Parental Benefits

401k with Company Match

Employee Stock Purchase Plan

Résumé du poste

Revvity is hiring a Principal DevOps Engineer/Lead for AI/ML infrastructure, with remote US location including MA. You will architect and lead scalable AI/ML infrastructure, build CI/CD pipelines for models, and mentor engineers across teams.

You will collaborate with AI researchers and software engineers to optimize performance, ensure security and reliability, and drive innovative solutions. The role requires 5+ years in DevOps/ML infrastructure with deep cloud, container, and automation

Qualifications

• 5+ years in DevOps, ML infrastructure, or platform engineering in leadership roles.
• 5+ years cloud provider expertise (AWS/Azure/GCP) incl AI/ML and containers.
• 5+ years with ML orchestration tools Kubeflow, MLflow, or SageMaker.
• 5-8+ years Docker and Kubernetes for AI workloads.
• 5-8+ years coding in Python, Go, or Bash for automation.

Responsabilités

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

Connaissances

DevOps leadership

Cloud platforms (AWS/Azure/GCP)

ML orchestration tools (Kubeflow/MLfow

Docker & Kubernetes

Python/Go/Bash scripting

Outils

Terraform

Ansible

GitHub Actions

GitLab CI/CD

Jenkins

Description du poste

Revvity is hiring a Principal DevOps Engineer/Lead for AI/ML infrastructure, with remote US location including MA. You will architect and lead scalable AI/ML infrastructure, build CI/CD pipelines for models, and mentor engineers across teams.

You will collaborate with AI researchers and software engineers to optimize performance, ensure security and reliability, and drive innovative solutions. The role requires 5+ years in DevOps/ML infrastructure with deep cloud, container, and automation