Staff DevOps Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Establish the technical direction for DevOps and platform engineering, mentor engineers, and advocate for infrastructure standards.

• Lead the planning of team objectives that align with business targets and the technology roadmap.

• Design and enhance cloud infrastructure utilizing Terraform.

• Manage Helm charts and deployment patterns effectively.

• Develop CI/CD tools using GitHub Actions.

• Drive security initiatives and automate SOC 2 compliance controls.

• Extend security measures to AI and autonomous systems.

• Enhance observability using OpenTelemetry and Grafana Cloud.

• Create developer tools for container-based development and production-like testing environments.

• Construct and maintain infrastructure for machine learning and internal AI workloads.

• Collaborate with the Data team on Databricks and Kafka infrastructure.

• Contribute to a highly available web-based depot operations platform utilizing NodeJS.

• Participate in a 24/7 on-call rotation, lead incident response, and conduct blameless postmortems.

• Collaborate with the SVP of Technology, Product team, and technical partners to scale the platform and enhance reliability, performance, and maintainability.

⛳️ Requirements

• 8+ years of experience in building and operating high-availability production systems, including leading DevOps, SRE, or platform engineering efforts.

• Extensive experience with AWS, managed Kubernetes (EKS), and infrastructure as code (Terraform).

• Proven experience in constructing CI/CD pipelines, such as GitHub Actions.

• Familiarity with observability tools, including OpenTelemetry and Grafana.

• Experience in leading SRE or DevOps initiatives supporting production cloud platforms.

• Proficiency with managed databases such as PostgreSQL or MongoDB.

• Excellent communication skills and the ability to collaborate across engineering, product, and infrastructure teams.

• Preferred: experience with multi-region AWS and EKS at scale.

• Preferred: experience in operating LLM-based applications or agents in production, including monitoring, cost optimization, evaluations, and LLM-specific security controls.

• Preferred: experience with Databricks, Kafka (MSK), or similar streaming/data platforms.

• Preferred: proficiency in Python or NodeJS.

🏝️ Benefits

• Comprehensive benefits package.

• Performance-based incentives, where applicable.

• Inclusive workplace and equal-opportunity employment.

• Reasonable accommodations for the application, interview, and job functions.