Location: Toronto, ON (4 days onsite)

What You’ll Do

• Design, build, and improve CI/CD pipelines to accelerate software delivery while maintaining stability and security across our platform.
• Provision, configure, and maintain cloud infrastructure on AWS using Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
• Provide on-call technical triage and troubleshooting, driving incidents to resolution and conducting thorough post-incident reviews.
• Lead cross-team reliability initiatives, including disaster recovery planning, security compliance, and AWS resource optimization.
• Deploy and manage containerized applications using Docker and AWS ECS/EKS, optimizing resource utilization and deployment strategies.
• Drive automation and innovation for proactive monitoring, alerting, and continuous operational improvement using tools such as Splunk, CloudWatch, New Relic, and Harness.
• Collaborate with software engineers and data engineers to embed SRE best practices into the development lifecycle, including SLOs, error budgets, and capacity planning.
• Write scripts and tooling in Python, Bash, or other scripting languages to automate routine operational tasks and streamline deployments.
• Document infrastructure architecture, deployment processes, and operational runbooks to enable transparency, consistency, and long-term maintainability.
• Collaborate with globally distributed teams for projects, knowledge transfer, and on-call rotation coverage.
• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate engineering workflows and improve productivity.

What We’re Looking For

• 5+ years of experience in Site Reliability Engineering, DevOps, or cloud infrastructure roles supporting production systems.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on experience with AWS cloud services (EC2, S3, ECS/EKS, Lambda, RDS, VPC, IAM, Route 53, CloudWatch).
• Proficiency with Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
• Experience building and maintaining CI/CD pipelines using tools such as Jenkins, Harness, GitHub Actions, or similar platforms.
• Strong working knowledge of Docker containers and container orchestration platforms.
• Proficiency in scripting languages such as Python or Bash for automation and operational tooling.
• Solid understanding of Linux/Unix system administration and networking fundamentals.
• Experience with monitoring, logging, and alerting tools such as Splunk, New Relic, CloudWatch, or Datadog.
• Knowledge of SRE principles, including SLIs/SLOs, error budgets, incident management, and post-incident review processes.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code).
• Excellent communication and collaboration skills, with the ability to work effectively across distributed teams and explain infrastructure decisions clearly

Nice to have

• AWS certifications (e.g., Solutions Architect, DevOps Engineer, SysOps Administrator).
• Experience designing or supporting disaster recovery and business continuity strategies.
• Familiarity with security compliance frameworks and implementing security best practices in cloud environments.
• Experience with serverless architectures using AWS Lambda, SAM, or the Serverless Framework.
• Experience supporting distributed engineering teams across multiple time zones.
• Exposure to data pipeline infrastructure or platforms used for large-scale data processing.
• FinOps certification or experience with cloud financial management and cost optimization practices.

Incentive Target Percentage