Translate user needs and business requirements into intuitive, visually appealing, and user-friendly product designs. Collaborate with cross-functional teams to maintain design systems and iterate on designs based on user feedback and data insights.
Design and operate high-volume, low-latency real-time data systems using Apache Flink as the core engine. Build and maintain high-scale streaming data pipelines on self-managed on-premise infrastructure.
You will own the end-to-end solution architecture for a sovereign, telco-native Customer Data Platform, managing the entire stack from data ingestion to activation. You are responsible for defining architectural principles, ensuring system scalability, and translating complex requirements into actionable designs for engineering teams.
Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.
You will own end-to-end ML/AI systems, including data pipelines, model training, and serving infrastructure. Additionally, you will build and optimize LLM-powered applications, RAG pipelines, and multi-agent orchestration systems.
Design and build scalable backend services and microservices using Java and Spring Boot. Collaborate with cross-functional teams to integrate databases and deploy containerized applications.
Build and maintain a multi-product portal with complex interactive visualizations and a comprehensive design system. Collaborate with cross-functional teams to implement high-performance interfaces and advanced frontend optimizations.
You will own the quality and automation frameworks for a high-scale, low-latency streaming Customer Data Platform. This involves building end-to-end test suites, validating data pipelines, and ensuring performance and governance standards are met.
