About the role
Architect and Build Next-Generation Commerce Platforms Lead the architecture, design, and implementation of highly scalable, secure, and resilient distributed systems. Drive technical strategy across multiple services, domains, and engineering teams. Solve complex cross-organizational engineering challenges involving performance, scale, reliability, and operational excellence. Define long-term platform evolution strategies aligned with business and product goals. Build intelligent systems leveraging Generative AI, Agentic AI, LLMs, RAG architectures, vector databases, orchestration frameworks, and AI agents. Establish evaluation frameworks, quality gates, observability, and governance for AI-driven systems. Apply Responsible AI principles throughout the software development lifecycle. Design architectures where humans and AI collaborate effectively to improve productivity, quality, and innovation. Establish strong standards around reliability, performance, maintainability, security, and usability. Serve as a recognized technical leader across teams and organizations. Influence architecture and design decisions beyond immediate team boundaries. Mentor senior and principal engineers. Drive technical reviews, architecture boards, and engineering excellence initiatives. Act as a trusted advisor to engineering leaders, product leaders, and business stakeholders. Bachelor's degree in Computer Science, Engineering, or related technical field. 10+ years of professional software engineering experience building large-scale production systems. Experience serving as technical lead or architecture owner for complex enterprise-scale platforms. Proven track record of delivering business-critical systems that operate reliably at scale. Software Engineering Expert-level proficiency in one or more languages such as C#, Java, Python, Go, or C++. Strong understanding of software design patterns, architecture principles, and engineering best practices. Deep expertise in API design, microservices, event-driven architectures, and distributed systems. Expertise in resiliency engineering, observability, and reliability engineering. Experience with SQL performance optimization, large-scale data processing, streaming platforms, and analytics systems. Experience designing high-performance transactional systems. Experience building modern web applications and services. Generative AI and Large Language Models (LLMs) Agentic AI systems RAG (Retrieval Augmented Generation) Prompt engineering AI observability and evaluation frameworks AI safety and governance AI orchestration platforms Vector search technologies AI-assisted software development workflows Human-in-the-loop AI architectures Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related discipline. Experience building AI-first products in production environments. Experience in commerce, billing, marketplaces, subscriptions, consumption-based platforms, pricing systems, or financial systems. Contributions to significant open-source initiatives. Publications, patents, or recognized technical thought leadership. Experience working across geographically distributed engineering teams. A systems thinker who sees connections across products, platforms, customers, and business strategy. Passionate about engineering quality and operational excellence. Obsessed with customer impact. Comfortable navigating ambiguity and defining direction. Able to influence without authority across organizational boundaries. Continuously learning and adopting emerging technologies. Excited by the opportunity to use AI as a force multiplier for innovation and engineering effectiveness. You will influence systems that support billions of dollars in business, power global customer experiences, and enable entirely new business models. *
