Full Stack Engineer

Role Overview We are looking for a Senior Full Stack Engineer to build and scale a Customer Data Platform (CDP) and Audience Builder solution, enabling real-time segmentation, preview, and activation of customer audiences with AI-assisted capabilities.

Key Responsibilities Develop React-based audience builder UI for segmentation, preview, and activation workflows Build scalable APIs and middleware to orchestrate audience creation, validation, preview, and activation Enable audience preview capabilities with fast, accurate insights before activation Integrate with data platforms: Databricks / Delta Lake (data processing) ClickHouse (high-performance analytical querying) Redis (low-latency caching) Kafka / Azure Event Hubs (real-time streaming) Support audience activation into downstream systems (campaigns, engagement platforms) Build AI-assisted segmentation and customer preview experiences Ensure scalable, low-latency, and reliable system performance Deploy and manage applications on Kubernetes / AKS with CI/CD best practices Required Skills Frontend: React, TypeScript, Next.js (data-driven UI development) Backend: Python or Node.js, REST API development, middleware design Data: Strong SQL, experience with Databricks, Delta Lake, and ClickHouse Streaming & Caching: Kafka / Event Hubs, Redis Cloud & DevOps: Kubernetes (AKS), microservices architecture

Nice to Have Experience with Customer Data Platforms (CDP) / marketing tech systems Exposure to AI/ML-driven product features (recommendation, segmentation) Experience with large-scale, real-time data systems Key Expectations Strong end-to-end ownership (UI + backend + data integration) Experience building data-intensive, real-time applications Ability to design scalable and performant systems Focus on customer experience, usability, and speed Business Impact Enable scalable audience creation and activation, driving personalization, campaign effectiveness, and customer engagement at scale.