Principal AI DevOps Engineer

Job not on LinkedIn

October 16

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

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Revvity

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Biotechnology • Pharmaceuticals • Healthcare Insurance

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

📋 Description

• 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.

🎯 Requirements

• 8+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity. • 6+ 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. • 6+ years of hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker. • 6+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads. • 6-8+ 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 diverse technical and business teams.

🏖️ 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