Platform Engineer- Devops [T500-28860]

lululemon; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

lululemon in Bengaluru is seeking a Platform Engineer to help shape core development and operations across pre-production to production. You will join a strong engineering practice, own DevOps responsibilities, and collaborate with global teams to deliver robust technical solutions.

The role emphasizes building and maintaining high-throughput data pipelines with Kafka, deploying containerized apps via Kubernetes and Docker, and driving CI/CD across AWS, Azure, and GCP.

Qualifications

• Bachelor's degree in CS/Software Engineering or equivalent; 5–8 years engineering experience.
• Ability to learn new cloud/IT technologies and solutions quickly.
• Hands-on CI/CD experience and best practices; familiarity with Jira/Confluence.

Responsibilities

• Build, scale, and monitor high-throughput event pipelines (Kafka).
• Deploy and manage containerized apps with Kubernetes/Docker in production.
• Drive DevOps practices to improve deployment frequency and reliability.
• Develop multi-cloud CI/CD pipelines across AWS, Azure, and GCP.
• Implement infrastructure as code with Terraform and observe systems with Datadog.
• Contribute to automation and production-level services; participate in on-call rotations.

Skills

Kafka

Kubernetes

Docker

CI/CD

Datadog

Python

Agile

Education

Bachelor's degree in CS/Software Engineering

Tools

Jira

Confluence

Terraform

Job description

lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in.

Core Responsibilities:

• As an Platform Engineer, you will help form the core of our engineering practice at lululemon by contributing to all areas of development and operations (pre-production to production). You will be supported by a strong engineering group, and established engineering practices. You will be part of a production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that own all parts of software development, release pipelines, production monitoring, security and support.
• Take part in Agile ceremonies
• Perform engineering assignments using existing procedures and best practices
• Conduct research to aid in product troubleshooting and optimization efforts
• Work closely with global teams to ensure deliver effective technical solutions
• 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
• 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.
• 5 - 8 years of engineering experience
• Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
• Hands on experience with CI/CD principals and best practices
Good knowledge and working experience in Agile methodology and familiar with tools like Jira and Confluence.

Must-Have Skills:

• Build and maintain high-throughput event streaming pipelines using Apache Kafka.
• Deploy, scale, and monitor containerized applications using Kubernetes and Docker in production environments.
• Drive DevOps best practices to improve deployment frequency, reliability, and system resilience.
• Build and manage multi-cloud CI/CD pipelines across AWS, Azure, and GCP ensuring consistent delivery.
• Implement Infrastructure as Code using Terraform for repeatable and scalable cloud provisioning.
• Configure and maintain observability dashboards, alerts, and metrics in Datadog for proactive monitoring.
• Develop automation scripts, data processing pipelines, and backend services in Python.

Good-to-Have Skills:

• Apply supply chain domain knowledge to optimize engineering solutions for operational efficiency.
• Adapt solutions to meet the unique challenges of the retail domain and improve customer experience.