Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems Partner with development teams as a reliability consultant and influence architectural decisions Write code to automate operational tasks and CI/CD pipelines Participate in a 24/7 on-call rotation and act as incident commander during critical disruptions Monitor, measure, and optimize system performance, latency, and capacity Forecast capacity needs using usage patterns and historical data Use AI-assisted coding tools such as Claude Code and Cursor Analyze telemetry data, build predictive capacity models, and identify bottlenecks and failure modes Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience ~5+ years of professional experience in a Site Reliability Engineering, DevOps,



or Software Engineering role focused on infrastructure and operations ~ Strong programming proficiency in one or more high-level languages such as Rust, Go, Python, or Typescript ~ Comfortable writing, testing, and deploying production-grade code ~ Deep knowledge of AWS services, especially networking, IAM, EKS, ALBs/NLBs, Route 53, and CloudWatch ~ Proven experience with Kubernetes in production, including service exposure, networking, and availability engineering ~ Solid understanding of Linux/Unix operating systems, TCP/IP, DNS, and contemporary distributed systems architecture Proficient in programming and cloud services, particularly in AWS and Kubernetes, to optimize system performance and reliability.

Site Reliability

Engineering AWS Services Programming Proficiency Python Typescript Linux/Unix Root Cause Analysis Bachelor's Degree in Computer Science

📌 Senior Site Reliability Engineer, SRE (Toronto)
🏢 Jobtailor
📍 Toronto