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About the role
Lead architecture, technical strategy, and design for large-scale commerce, financial, payments, data, AI, and cloud platform systems.Define and drive technical direction across complex services, platforms, and cross-team initiatives. Design and evolve cloud-native distributed systems with a focus on scalability, reliability, performance, security, compliance, accessibility, and operational excellence. Lead the development of AI-powered capabilities, intelligent automation, agentic workflows, LLM-enabled applications, data-driven insights, and AI-assisted engineering practices. Drive platform modernization efforts that improve system consistency, extensibility, resiliency, developer productivity, and long-term maintainability. Influence roadmaps and technical investments by partnering with engineering leaders, product managers, architects, researchers, data scientists, and business stakeholders. Evaluate technical tradeoffs, manage dependencies, and resolve architectural challenges across multiple teams, systems, and organizations. Champion engineering excellence through secure development practices, automation, CI/CD, observability, testing, telemetry, incident response, and live-site rigor. Establish patterns, frameworks, and reusable platform capabilities that enable teams to deliver faster and with higher quality. Mentor and develop engineers through technical guidance, design reviews, code reviews, knowledge sharing, and leadership by example. Help foster an inclusive engineering culture grounded in collaboration, accountability, customer focus, and continuous learning. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience designing, building, and operating large-scale distributed systems, cloud platforms, production services, or enterprise software systems. Experience leading complex technical initiatives that span multiple teams, services, or organizations.Deep expertise in software architecture, system design, scalability, reliability, performance, and operational excellence.Proficiency in C#, Java, Python, C++, JavaScript, or similar programming languages. Experience with Azure, AWS, GCP, or other cloud platforms; Azure experience preferred. Experience with commerce platforms, financial systems, payments, billing, revenue systems, pricing, catalog, offer management, data platforms, or large-scale transaction processing. Experience building or leading AI-powered solutions, production AI applications, LLM-enabled experiences, agentic workflows, intelligent automation, applied machine learning capabilities, or AI-assisted engineering practices. Experience with CI/CD, Azure DevOps, automated testing, monitoring, telemetry, observability, incident management, and DevOps practices. Understanding of security, privacy, accessibility, compliance, reliability, and Responsible AI principles. Ability to create clarity in ambiguous environments, influence without authority, and align stakeholders around durable technical decisions. Communication skills with the ability to translate complex technical concepts into clear engineering, product, and business direction. Demonstrated ability to mentor senior engineers and raise the engineering bar across an organization.
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