Summary

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 experience 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.

Job description

About the Role

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 experience 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.

Main Functions

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

Basic 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

Preferred Qualifications

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.

Requirements

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
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

Benefits

Medical, Dental & Vision
Life & Disability Insurance
Paid Time-Off
Parental Benefits
Compassionate Care Leave
401(k) Matching
Employee Stock Purchase Plan

Company overview

Revvity is a leading life sciences and diagnostics company that emerged from the rebranding of PerkinElmer's life sciences and diagnostics business in 2023. The company specializes in providing innovative solutions that advance scientific discovery and improve human health through cutting-edge technologies. Revvity offers a comprehensive portfolio of products and services including advanced detection instruments, reagents, software, and services for research, drug discovery, and clinical diagnostics. The company serves customers across pharmaceutical, biotechnology, academic, government, and clinical laboratory sectors worldwide. With a strong focus on innovation, Revvity develops technologies that enable researchers to accelerate scientific breakthroughs and healthcare professionals to deliver more accurate diagnostic results. The company's solutions span areas such as genomics, cell biology, imaging, and diagnostics, supporting critical work in disease research, drug development, and personalized medicine.