[Hiring] Principal DevOps Engineer/Lead (AI/ML Infrastructure) @Revvity

Role Description

Join us as a Principal DevOps Engineer/Lead (AI/ML Infrastructure), where you'll play a pivotal role building out, maintaining, and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experienced developers building out AI capabilities within our product.

We are seeking a senior-level technical expert working within the R&D organization, who integrates and orchestrates the entire lifecycle of artificial intelligence (AI) and machine learning (ML) projects. You will be responsible for bridging the gap between AI researchers and traditional software development teams to ensure AI 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.

• Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads.
• 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.

Qualifications

• 5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity.
• 5+ years of deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services.
• 5+ years of hands-on experience with ML orchestration and platform tools like 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 strong coding skills in languages such as Python, Go, or Bash for automation.

Requirements

• 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 cross-functional technical and business teams.
• The working hours for this position will be EST. Remote US Candidates only.
• Candidates must have the capability to Interview In-Person at our Headquarters in Waltham, MA USA.
• Please include a valid LinkedIn profile and added work links, to your resume.

Benefits

• Medical, Dental, and Vision Insurance Options
• Life and Disability Insurance
• Paid Time-Off
• Parental Benefits
• Compassionate Care Leave
• 401k with Company Match
• Employee Stock Purchase Plan