About the role

Performance Engineering Lead at TD Bank focusing on testing mission-critical software in an agile environment. Enhance performance testing practices and mentor junior engineers.

Responsibilities

Strategize & lead testing of TD Bank's production like infrastructure with a focus on automation & scale
Promote and apply best practices for performance testing of scalable and reliable services across engineering
Be a subject matter expert and partner with our engineering team on areas of performance and scale
Drive initiatives to evolve our current performance framework/tools/processes and keep it in line with best practices and scalability needs.
Participate in root cause analysis for performance related incidences and determining how we can prevent them in the future
Identify performance bottlenecks and create repeatable processes
Be a performance test advocate and advisor for the performance tools and frameworks that serve as a model for others with regard to quality, scalability, operability, maintainability, etc.
Participate in defining the technical vision and architecture with performance in mind
Communicate and collaborate across levels, functions, and organizational boundaries
Mentor and coach junior engineers to leverage their full potential

Track record of leading successful large scale Infrastructure projects
6+ years of leading performance test engineering
5+ years of Performance Testing/Monitoring of Web Applications
Candidates MUST be able to code with a programming language using standard software development practices like unit testing and iterative development
Possess good knowledge in network and edge technologies
Demonstrate excellent Linux fundamentals and solid understanding of diagnosing system utilization
Experience working with Agile methodologies
Possess excellent documentation and communication skills, with the ability to influence others
Familiarity with CI/CD pipeline for performance testing
Experience with Performance test framework development and automation
Experience working with large scale distributed systems & large data volumes
Experience with some of the following technologies and services: Cloud based Infrastructure as a Service (especially Azure), Container based service schedulers (e.g., Docker, ECS, Kubernetes, etc.), MySQL, Java, Python, Performance testing tool – Jmeter, Log management tools (Splunk), Monitoring systems (Prometheus, Dynatrace, Datadog)