Senior Software Engineer - Performance Testing [T500-21971]

Who we are:

Founded in 1998 at Vancouver, lululemon is a performance and lifestyle product company that create transformational products and experiences that build meaningful connections, unlocking greater possibility and wellbeing for all. We are driven by our brand purpose to elevate human potential by making individuals feel their best which helps us design our products with high filter and high style. We use a unique product creation methodology called Science of Feel in all our products to offer convenient, comfortable, and long-lasting experience. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we’re in.

Senior Software Engineer

Core Responsibilities:

As a Senior Engineer, you will bring a high level of technical knowledge as well as strong mentoring abilities. You will be counted on as a leader in your technology space as you contribute to all areas of development and operations (pre-production to production). You will work closely with a Technology Manager, using your experience and knowledge to guide a team of Engineers though their day-to-day process, and provide a central escalation point for production concerns. You will be part of an Agile production release team and may perform on-call support functions as needed. As a Senior Engineer I, you would be a primary caretaker of production systems and would maintain a deep understanding of how delivered products are functioning.

• Are a main contributor in Agile ceremonies
• Provide mentorship and facilitate engineering training for a team of Engineers
• Perform and delegate engineering assignments to ensure production readiness is maintained
• Conduct research to aid in product troubleshooting and optimization efforts
• Conduct research to guide product development and tools selection
• Provide an escalation point and participate in on-call support rotations
• Actively monitor key metrics and report on trends
• Participate in our Engineering Community of Practice
• Contribute to engineering automation, management or development of production level systems
• Contribute to project engineering design and standards verification
• Perform reliability monitoring and support as needed to ensure products meet guest expectations.

Qualifications:

• Completed bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible
• 8 – 13 years of engineering experience
• Collaborate with onshore and offshore resources and ensure alignment on priorities
• Collaborate with a cross functional team to develop performance designs, test strategies and plans. Identify performance bottlenecks across all tiers, components, layers.
• Conduct performance and capacity optimization analysis and studies to improve the effectiveness of applications.
• Understand the architecture of applications and technology stack to recommend appropriate strategies and ensure the system performance is within defined SLAs.
• Experience in identifying potential failures / impact and setting up failure simulation scenario
• In-depth understanding of distributed systems, microservices architecture, and containerization technologies (such as Docker and Kubernetes)
• Knowledge of Resiliency design pattern and its best practices – Circuit breaker, Timeout/ Time limit, Retry, Bulkhead, Fall back etc.
• Knowledge of best practices in software development, testing, and deployment, including CI/CD pipelines and automation tools
• Analysis and resolution of critical and complex application issues (crashes, hung threads, memory leaks, etc.) and performance tuning based on RCA.
• Excellent problem-solving skills, with the ability to troubleshoot complex issues and develop effective solutions
• Develop performance and test scripts to simulate real world scenarios
• Conduct Proof of Concept for engineering and testing tools, and demonstrate feasibility of implementing the solution, with business justifications.
• Hands on experience of HA and DR simulations
• Strong proficiency in any one of Industry standard chaos engineering tools (Chaos Monkey, Chaos Toolkit or Gremlin or Litmus, etc.) and experience in customizing / building chaos tools using Python or any other scripting / programming language
• Hands-on experience in analyzing and measuring MTTD/ MTTR from i…