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 Build internal tools, libraries, and frameworks for self-service observability Participate in a 24/7 on-call rotation and act as incident commander during critical disruptions Conduct blameless root cause analyses and implement corrective actions Monitor, measure, and optimize system performance, latency, and capacity Forecast capacity needs using usage patterns and historical data Build and integrate AIOps solutions, including automated responses and self-healing systems Use AI-assisted coding tools such as Claude Code and Cursor Develop and document runbooks and procedural guides for the observability knowledge base Analyze telemetry data, build predictive capacity models, and identify bottlenecks and failure modes Requirements 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 Solid 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, HTTP, and modern distributed systems architecture Core Competencies Demonstrates expertise in designing and maintaining scalable distributed systems, with a strong focus on automation, observability, and incident management. Proficient in programming and cloud services, particularly in AWS and Kubernetes, to optimize system performance and reliability. Highest-signal resume keywords Site Reliability Engineering AWS Services Kubernetes Programming Proficiency Automation Hard Skills Rust Go Python Typescript Linux/Unix TCP/IP DNS HTTP Distributed Systems Architecture CI/CD Soft Skills Incident Management Root Cause Analysis Collaboration Certifications & Qualifications Bachelor's Degree in Computer Science Industry Keywords Infrastructure Operations Observability Capacity Forecasting Self-Healing Systems Tools & Technologies AIOps Solutions Claude Code Cursor CloudWatch EKS ALBs/NLBs Route 53 #J-18808-Ljbffr

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