Site Reliability Engineer II
Role Overview
Site Reliability Engineer II role focused on performance engineering for TD's production-like infrastructure and web applications.
The position operates independently on complex tasks and provides technical guidance, coaching, and subject-matter expertise.
Key Skills for This Role
Full Job Posting
Role overview
Site Reliability Engineer II role focused on performance engineering for TD's production-like infrastructure and web applications.
The position operates independently on complex tasks and provides technical guidance, coaching, and subject-matter expertise.
Performance engineering
- Lead infrastructure performance testing with emphasis on automation, scale, and reliable services.
- Use JMeter and monitoring tools to diagnose bottlenecks, analyze test results, and recommend optimization.
- Perform root-cause analysis, escalate issues, and create repeatable practices to prevent recurring incidents.
- Define and refine workload models with architects and monitor production workloads and performance.
- Improve production stability and availability by partnering with engineering and operations teams.
Technical leadership and team contribution
- Advise on performance-focused system design, technical vision, and architecture.
- Evolve performance frameworks, tools, and processes to support scalability and best practices.
- Mentor colleagues, share knowledge, communicate progress, and collaborate across teams.
Experience and technical qualifications
- Track record leading large-scale infrastructure projects; 6 or more years leading performance test engineering and 5 or more years testing or monitoring web applications.
- Proficient in scripting and custom performance-test code, including JMeter where applicable; able to code using unit testing and iterative development practices.
- Strong Linux fundamentals, system-utilization diagnosis, and knowledge of network and edge technologies.
- Experience with Agile, performance-test framework development and automation, and large-scale distributed systems.
Tools and additional experience
- Experience with Azure, Docker, ECS, Kubernetes, MySQL, Java, Python, JMeter, LoadRunner, Splunk, Prometheus, Dynatrace, or Datadog is requested across alternatives.
- CI/CD pipeline familiarity, chaos engineering, observability, test-data strategy, UX Engine, and Mountebank experience are also mentioned.
- Strong analytical, problem-solving, communication, documentation, and collaboration skills are required.
Pay
- The listed base pay range is $81,600–$115,200 CAD; the posting does not state the pay cadence.
Work details
- The listed work location is Toronto, Ontario, Canada, with 37.5 hours per week; no workplace policy is specified.
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