Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US

Role overview Architect and lead the infrastructure that supports AI and machine learning capabilities in a scientific software platform. This senior technical role connects research and software engineering, building reliable workflows for experimentation, model deployment, and operation at scale, with a focus on automation, security, and performance.

Responsibilities - Design and implement scalable, secure, resilient cloud infrastructure for AI and ML workloads. - Build and maintain model-focused CI/CD pipelines covering data ingestion, model deployment, serving, and monitoring. - Work with researchers and software engineers to improve system performance and streamline development and experimentation. - Set platform engineering and deployment practices, and mentor less experienced engineers. - Monitor reliability, security, and performance, and bring forward improvements in AI infrastructure.

Requirements - At least five years in DevOps, ML infrastructure, or platform engineering, including several years in a senior or leadership role. - Five or more years of deep experience with a major cloud provider and its AI/ML and container services. - Hands-on experience with ML platform or orchestration tools such as Kubeflow, MLflow, or SageMaker. - Strong Docker and Kubernetes expertise for operating and scaling AI/ML workloads. - Strong automation skills in Python, Go, or Bash. - Ability to collaborate and communicate across technical and business teams.

Nice to have - Infrastructure provisioning experience with Terraform or Ansible. - Experience building automated CI/CD workflows with GitHub Actions, GitLab CI/CD, or Jenkins.

Benefits and work setup - Remote candidates in the United States; working hours align with Eastern Time. - The role requires the ability to interview in person at the organization’s Massachusetts headquarters. - Published base salary range: $200,000–$235,000, with final compensation dependent on location, skills, experience, education, and other factors. - Listed benefits include medical, dental and vision coverage, life and disability insurance, paid time off, parental and compassionate care leave, a 401(k) match, and an employee stock purchase plan. Eligibility may vary by role.