Principal DevOps Engineer (AI/ML Infrastructure) - Remote Canada

Revvity is seeking a Principal DevOps Engineer to lead the design, delivery, and evolution of our cloud platform supporting AI and machine learning workloads.

This is a high-impact role within a global diagnostics and life sciences technology company, focused on scalable infrastructure, automation, and the reliability of services that enable scientific discovery and patient outcomes.

You will own the architecture and lifecycle of our DevOps and MLOps platform, drive infrastructure automation at scale, and partner closely with AI engineering, security, and platform teams to deliver performant, cost-efficient, and compliant cloud services. You will also mentor engineers, raise technical standards, and help shape the future of our engineering platform.

Key Responsibilities

• Own architecture, delivery, and operations of a cloud-native platform for AI/ML workloads, including observability, scalability, and lifecycle management.
• Build and operate scalable, automated CI/CD pipelines and deployment infrastructure for model training, inference, and production services.
• Architect and manage Kubernetes-based orchestration, service mesh, and data pipelines for distributed systems and AI workloads.
• Drive infrastructure-as-code practices using Terraform, CDK, or similar tools to enable consistent, auditable, and secure environments.
• Ensure the security, performance, and cost-effectiveness of our AWS and multi-cloud environments, applying FinOps practices.
• Develop and maintain observability solutions using tools like Datadog, Prometheus, Grafana, and OpenTelemetry.
• Lead DevOps best practices across the organization, including standards for testing, code quality, deployment automation, and incident management.
• Mentor and support engineers, promoting a culture of quality, reliability, and continuous improvement.

Required Qualifications

• 10+ years of experience in DevOps, SRE, or Platform Engineering roles with 5+ years in a senior or principal capacity, ideally in AI/ML infrastructure.
• Deep expertise in cloud infrastructure, particularly AWS, including compute, storage, networking, and security services.
• Advanced knowledge of Kubernetes, Docker, and container orchestration at scale.
• Strong experience with CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins) and infrastructure-as-code (Terraform, CDK, Ansible).
• Solid programming skills in Python and/or Go; experience with Bash and scripting automation.
• Experience with MLOps tools and workflows such as MLflow, Kubeflow, SageMaker, or model deployment frameworks.
• Knowledge of monitoring and observability platforms and incident response practices.
• Strong understanding of security best practices, including IAM, secrets management, encryption, and compliance frameworks (e.g., SOC 2, HIPAA).

Nice to Have

• Experience with multi-cloud environments (Azure, GCP) and hybrid architectures.
• Familiarity with serverless architectures and event-driven systems.
• Background in data engineering and data pipeline orchestration (e.g., Airflow, Kafka, Spark).
• Experience implementing FinOps and cost optimization at scale.
• Prior experience in regulated industries (life sciences, healthcare, diagnostics).

Why Join Revvity?

• Shape the AI/ML infrastructure that powers breakthrough science and healthcare innovation.
• Work in a global, mission-driven organization with a strong engineering culture.
• Enjoy flexible remote work within Canada and a collaborative, high-performing team.
• Build your career with a company that values innovation, growth, and impact.

We encourage applications from individuals of all backgrounds and experiences.

If this role resonates with you and your expertise aligns with many of the qualifications, we invite you to apply — even if you don't meet every requirement. We value diverse perspectives and are committed to an inclusive hiring process.