Job Description

About lululemon India Tech Hub
Founded in 1998 at Vancouver, lululemon is a performance apparel company that sells athletic and lifestyle products. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. 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. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance.

Senior Engineer II Back End
Who we are:
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
About this team:
lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemons business goals.
Who You Are:
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
A Day in the Life:

• 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

Must Haves:

• Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
• Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
• Communicates with honesty and kindness and creates space for others to do the same.
• Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Fosters connection by putting people first and building trusting relationships.
• Integrates fun and joy as a way of being and working, aka doesnt take themselves too seriously.

Qualifications:

• Bachelors degree in computer science/engineering or equivalent
• 12-15 years of hands-on software engineering experience with strong computer science fundamentals.
• 8+ years of experience in designing and building scalable, secure, cloud-native microservicesusing Java, Spring Boot, Spring Cloud, WebFlux, and TDD.
• Proven experience developing and operating high-volume, low latency distributed systems with strong performance, resiliency, and observability.
• Advanced proficiency with event-driven and streaming platforms, particularly Confluent Kafka (schemas, partitions, consumer groups, optimizations).
• Strong cloud engineering expertise across AWS services (Lambda, ECS/EKS, SQS/SNS, DynamoDB, API Gateway, IAM, networking).
• Deep DevOps and automation experience with CI/CD, GitHub Actions/Jenkins, Containerization (Docker), Kubernetes, Terraform/Helm, and GitOps workflows.
• Strong analytical and diagnostic skills for troubleshooting complex production issues using distributed tracing, JVM tuning, and log/metric insights.
• Experience delivering software across the full SDLC, including Agile, DevOps, testing automation, observability, and SRE practices.
• High-ownership, self-starter mindset with the ability to independently drive architecture, design, and delivery for critical systems.
• Excellent communication and collaboration skills to influence technical decisions and mentor engineering teams.
• Familiar with modern engineering tools: GitHub, IntelliJ/Eclipse, Jira, Confluence, and project management platforms.

Integrated AI/ML Experience:

• Basic understanding of AI/ML concepts such as predictive analytics, anomaly detection, and data-driven decisioning
• Hands-on exposure integrating AI-powered services/APIs (e.g., AWS AI services, OpenAI APIs) into backend services
• Experience using AI-assisted development tools (GitHub Copilot, Amazon CodeWhisperer) for code generation, testing, and productivity improvements
• Familiarity with vector databases, embeddings, or LLM-based retrieval patterns (RAG)
• Ability to evaluate AI-driven enhancements for OMS workflows (fraud detection, exception prediction, inventory intelligence)
• Understanding of ethical AI usage, data privacy, and secure integration practices for AI components

Skills Required