Technology Manager II- Fullstack
Lululemon Athletica View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- Lead and grow a team of skilled engineers, architects, and analysts through empathy and people-centric approach.
- Set the team's delivery roadmap and technical goals, working closely with technology leaders in North America and other partner teams.
- Ensure team's deliverables meet the security, quality and engineering maturity standards set by enterprise architecture and engineering.
- Ensure the right skills are being used to solve the right problems by supporting the team with coaching, skills development, and career path leadership
- Being a role model and lead awareness and training for your team in our IDEA program - Inclusion, Diversity, Equity and Action.
- Define and drive the engineering vision for international eCommerce platforms, integrations.
- Lead the evolution to a MACH-based, AI-enabled composable architecture (Microservices, API-first, Cloud-native, Headless).
- Cloud-native services.
- Event-driven systems (Kafka, streaming).
- Intelligent automation across the commerce funnel.
- Lead engineering for high-traffic, multi-country, multi-language international websites, ensuring performance, scalability, localization, and compliance.
- Modernize legacy integrations into API-first, loosely coupled services, enabling faster feature rollout and market expansion.
- Champion DevOps, CI/CD, Infrastructure-as-Code, and ML Ops practices to accelerate deployment cycles and reduce release risk.
- Partner with Enterprise Architecture, PMO, Product, and Business teams to implement future-ready digital commerce solutions aligned to global growth strategy.
- Build and scale high-performing engineering teams across regions, fostering an AI-first, automation-driven engineering culture.
- Establish measurable SLAs, SLOs, and operational excellence practices across platform reliability, performance, and security.
- Ensure that team is delivering as per the planned timelines by helping remove any blockers.
- Manage the resource and delivery plans for the team.
- 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.
- 14+ years of experience in enterprise technology, with significant experience in eCommerce and digital commerce platforms.
- 5+ years in engineering leadership roles managing cross-functional teams.
- Expertise in React / Next.js, TypeScript, Java Spring Boot, Node.js, and API design (REST/GraphQL).
- Hands-on experience with AWS (EKS, serverless), CI/CD, and production support.
- Experience with Checkout flows, Payment Gateway integrations (Stripe, Adyen, PayPal etc) along with Retail / ecommerce Domain preferred.
- Proven leadership experience managing multi-regional engineering teams.
- Deep experience with Salesforce Commerce Cloud (SFCC) in high-scale environments.
- Strong understanding of Composable Commerce / MACH principles.
- Experience designing API-first, event-driven architectures.
- Experience externalizing high-volume APIs, payments, and inventory systems.
- Background in retail, global commerce, or high-growth digital businesses.
- Experience leading modernization programs from legacy platforms to cloud-native architecture.
- Strong communication skills,strategic thinking skilland executive presence.
- Experience embedding AI / ML capabilities into commerce experiences, including personalization, recommendations, dynamic pricing, or intelligent merchandising.
- Familiarity with Generative AI use cases in commerce (content automation, search enhancement, chat-based support, campaign optimization).
- Experience implementing AI-assisted engineering workflows (code generation, automated testing, observability intelligence).
- Experience enabling AI-driven experimentation (A/B testing at scale, dynamic content).
- Headless & composable commerce frameworks.
- GraphQL & REST APIs.
- Event streaming (Kafka or equivalent).
- Cloud platforms (Azure / AWS / GCP).
- CI/CD pipelines, DevOps automation.
- Infrastructure as Code.
- Containers & orchestration (Kubernetes).
- Observability & reliability engineering.
- Payments, Inventory integration.
- Multi-region performance optimization.