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 skilled 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, 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

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