Senior Backend Engineer (Analytics AI Personalization)

📋 Description

• • Own the end-to-end architecture, development, and scaling of Tapcart’s next-generation data infrastructure that fuels analytics, segmentation, and AI-driven personalization for over 50 million shoppers and $8 billion in annual revenue.
• • Design distributed systems that ingest, transform, and serve petabyte-scale behavioral and transactional data in real time, enabling merchants like Béis, Grove Collaborative, and Ruggable to deliver hyper-personalized mobile experiences.
• • Build and harden microservices in Node.js/TypeScript on Google Cloud Platform, leveraging Kubernetes, Docker, and Infrastructure-as-Code (Terraform, Cloud Build) to guarantee 99.9 % uptime while keeping costs predictable.
• • Partner daily with Product, Data Science, and Customer Success to translate merchant requirements into robust, production-ready APIs and data pipelines; ship code to production every day in our agile, data-driven environment.
• • Optimize and secure cloud infrastructure for both performance and compliance—implementing enterprise-grade encryption, RBAC, and global regulatory standards (GDPR, CCPA) to protect shopper and merchant data.
• • Architect and evolve API schemas, data contracts, and service boundaries that allow multiple teams to iterate rapidly without breaking downstream consumers; lead design reviews and mentor engineers on distributed-systems best practices.
• • Power AI/ML initiatives by creating high-throughput, low-latency feature stores and model-serving layers that enable generative-AI-driven product recommendations, dynamic pricing, and personalized in-app campaigns.
• • Instrument comprehensive observability (metrics, tracing, alerting) so that every service is self-healing and every incident drives a blameless post-mortem that improves the platform.
• • Drive cost-optimization initiatives—rightsizing clusters, tuning BigQuery/Bigtable schemas, and leveraging preemptible VMs—to ensure our data platform scales economically as GMV grows 3× year-over-year.
• • Champion code quality through rigorous automated testing, peer reviews, and continuous deployment pipelines; instill a culture where “done” means validated in production and delivering measurable customer value.
• • Contribute to the technical roadmap, quarterly OKRs, and long-term vision for Tapcart’s analytics and personalization stack, ensuring we stay ahead of the exploding mobile-commerce curve.
• • Experiment fearlessly—prototype new data-processing frameworks (Apache Beam, dbt, Pub/Sub, Dataflow) and evaluate emerging Gen-AI tools to keep Tapcart at the cutting edge of mobile retail innovation.