You will be accountable for the delivery of technology that is needed to enable consumer connections at retail and Converse.com, helping the Converse business meet and exceed its growth goals for our Brick and Mortar and Digital Commerce Channels globally. Partnering with global Converse technology teams will be key to successful growth in all aspects of technology delivery and operations. within the Supply chain, Planning and Corporate Functions Product

We are open to candidates in Bangalore India Required Skills: Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience) 12+ years of professional • experience in ecommerce engineering and software development with a focus on B2C products - ecommerce, marketing, and service and technical leadership Full-stack engineering • experience inclusive of frameworks / languages like Proficiency in modern programming languages such as Java, JavaScript/TypeScript, Python, or Node.js Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native architecture is optional Understanding of RESTful APIs, microservices architecture, and event-driven systems Experience delivering solutions across the entire e-commerce capabilities: .com, and CRM/Marketing, Service, and personalization, and product lifecycle management (PLM) Demonstrated experience leveraging AI and large language models (LLMs) in an ecommerce environment, such as recommendation engines, intelligent search, personalization, demand forecasting, or conversational AI • Proven experience designing and implementing bot mitigation and detection systems for high-demand, Launches, CDN configuration, edge computing in the digital commerce environments • Strong experience building and operating high-traffic launch capabilities, including queue management, traffic shaping, and real-time scaling strategies Excellent problem-solving skills and ability to make sound technical decisions under pressure, especially during high-stake launch events • Strong communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders Ability to collaborate effectively across geographically distributed teams and time zones Comfort working in a fast paced, results oriented, globally distributed environment. Self-starter & ability to problem solve and Strong ability to hold team accountable to commitments Experience leading a team of engineers & experience with people management tasks such as performance reviews, career development plans, hire and retain talent Experience with agentic / generative AI, AI/ML technologies, or a strong interest and demonstrated eagerness to learn and apply AI driven solutions to improve engineering productivity and system outcomes, and operational efficiency Strong collaboration and A growth mindset — curious, adaptable, and energized by evolving technology. WHAT YOU’LL WORK ON