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, 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 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

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