About the Role:
Technical Leadership & Architecture
Own end-to-end architecture for Checkout and Retail redemption systems.
Lead front-end architecture using Vue.js and Adobe Experience Manager (AEM).
Drive backend architecture and scalability using Node.js (TypeScript) microservices.
Champion modern engineering practices: CI/CD, observability, resilience patterns, API-first design.
AI-Driven Engineering Productivity
Embed AI tools (e.g., GitHub Copilot, LLM-based assistants, automated test generation) into engineering workflows.
Improve developer productivity through AI-assisted code reviews, test automation, documentation generation, and incident analysis.
Establish measurable productivity metrics and continuously optimize engineering velocity.
Data-Driven Decision Making
Use transaction, funnel, and redemption data to identify system bottlenecks and revenue leakage.
Partner with Product, Analytics, and Finance to drive data-informed prioritization.
Monitor KPIs such as conversion rate, latency, error rates, payment success rates, and system SLAs.
Drive experimentation (A/B testing) and performance optimization.
People Leadership
Lead and grow high-performing distributed engineering teams.
Mentor engineering managers, architects and senior engineers.
Foster a culture of ownership, accountability, and innovation.
Align engineering roadmaps with business and revenue goals.
About You:
Experience
15+ years in software engineering, with 8+ years in engineering leadership with proven experience leading transactional or eCommerce systems at scale.
Strong hands-on experience in Node.js (TypeScript), Microservices architecture with Vue.js front-end development and Adobe Experience Manager (AEM) or similar CMS-driven checkout experiences
Experience in high-availability payment systems or checkout platforms preferred.
Technical Depth
Deep understanding of distributed systems, API design, and event-driven architectures.
Strong knowledge of observability, performance optimization, and cloud-native architectures.
Experience working with secure transaction flows and compliance standards.
AI & Modern Engineering
Demonstrated use of AI tools to improve engineering productivity.
Strong understanding of how LLMs and generative AI can be embedded in developer workflows.
Passion for modernizing engineering practices using automation and AI.
Data & Business Acumen
Comfortable analyzing data, dashboards, and business metrics.
Ability to connect technical decisions to revenue impact.
Leadership Skills
Strong executive communication skills.
Ability to influence cross-functional stakeholders.
Experience leading globally distributed teams.
#LI-Hybrid
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