Note: The job is a remote job and is open to candidates in USA. E-IT is seeking a Senior Full Stack Engineer to build and scale a Customer Data Platform and Audience Builder solution. The role focuses on developing React interfaces, backend APIs, real-time data integrations, AI-assisted segmentation, audience activation, and cloud-native microservices.
Responsibilities
- Develop React-based Audience Builder UI for customer segmentation, preview, validation, and activation workflows
- Build scalable Python or Node.js APIs and middleware for audience creation, validation, preview, and activation
- Integrate customer data and segmentation workloads with Databricks / Delta Lake
- Use ClickHouse for high-performance analytical queries and audience insights
- Implement Redis for low-latency caching and audience metadata
- Integrate Kafka / Azure Event Hub for real-time customer events and audience eligibility updates
- Build and support audience activation into downstream campaign and engagement platforms
- Develop AI-assisted segmentation and customer preview capabilities
- Design highly scalable, low-latency, and reliable data-intensive applications
- Deploy and manage microservices on Kubernetes / AKS using CI/CD best practices
- Take strong end-to-end ownership across UI, APIs, data integration, and platform performance
Skills
- • React + TypeScript + Next.js
- • Hands-on CDP / Audience Builder implementation
- • Adobe Experience Platform (AEP) / Real-Time CDP (RTCDP)
- • Python or Node.js API development
- • REST APIs / middleware
- • Databricks / Delta Lake
- • Kafka / Azure Event Hub / Redis
- • Strong SQL
- • Hands-on audience segmentation and activation
- • Kubernetes / AKS
- • Microservices architecture
- • Strong end-to-end ownership across frontend, backend, and data integration
- • Experience building data-intensive, real-time applications
- • Ability to design scalable, performant, low-latency systems
- • Strong focus on customer experience, usability, and application speed
- • Ability to work across engineering, data, and customer engagement use cases
- • Experience with Customer Data Platforms / Marketing Technology
- • AI-assisted segmentation
- • Recommendations
- • Customer insights
- • Intelligent audience discovery
- • Experience with large-scale, real-time data systems
Benefits
- Remote work arrangement
Company Overview
Company H1B Sponsorship