Senior Software Engineer - Fullstack [T500-29705]

About lululemon: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.

Core Responsibilities:As a Senior Software 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 ceremoniesProvide mentorship and facilitate engineering training for a team of EngineersPerform and delegate engineering assignments to ensure production readiness is maintainedWork closely with global teams to ensure deliver effective technical solutionsConduct research to aid in product troubleshooting and optimization effortsConduct research to guide product development and tools selectionProvide an escalation point and participate in on-call support rotationsActively monitor key metrics and report on trendsParticipate in our Engineering Community of PracticeContribute to engineering automation, management or development of production level systemsContribute to project engineering design and standards verificationPerform 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 eligible10 to 12+ years of Full Stack engineering experience6+ years of experience with Angular / AngularJS. 6+ years of experience in HTML, CSS, and writing cross-browser compatible code. A solid understanding of AJAX, JavaScript, and the Bootstrap framework (2+ years experience in Bootstrap). 6+ years of experience with RESTful services. Familiarity with testing frameworks (basic experience, e.g., Cypress).Hands-on experience implementing complex Angular applications, directives, controllers, and services. Strong knowledge and working experience with programming languages such as java Strong knowledge and hands-on experience with designing applications using frameworks like Spring Boot & Java microservices Strong knowledge and hands-on experience with designing and implementing systems that use cloud technologies and services such as AWS Lambda and AWS S3. Strong knowledge and working experience with data integration technologies such as Kafka Strong knowledge and working experience with API based system design Strong experience working with relational and no-sql databases such as Postgres, MongoDB Strong working experience working with containers and container orchestration systems like Kubernetes. Strong hands-on experience with designing and implementing CI/CD workflows Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology spaceGood knowledge and working experience in Agile methodology and familiar with tools like Jira and Confluence Good to have knowledge and experience with infrastructure provisioning tools like Terraform and workflow orchestration tools like Airflow Good to have experience with cloud data platforms (e.g., Snowflake), ETL, and SQL optimization for large-scale data transformations.