• Architect and deliver complex stream-processing solutions. • Mentor engineering teams. • Collaborate closely with cross-functional stakeholders to translate business requirements into robust technical systems. • Lead the architecture, design, and implementation of real-time data processing pipelines using **Apache Flink**. • Develop and maintain high-performance backend services and distributed systems using **Java**. • Design scalable event-driven architectures capable of handling high-throughput and low-latency workloads. • Optimize streaming jobs for performance, fault tolerance, and resource efficiency. • Ensure best practices in code quality, testing, observability, and CI/CD processes. • Collaborate with data engineering, DevOps, and product teams to define technical roadmaps and system requirements. • Conduct design reviews, troubleshoot production issues, and implement long-term reliability improvements. • Mentor and guide engineers, fostering a culture of technical excellence and continuous improvement. • Contribute to infrastructure decisions related to distributed processing, cloud deployment, and containerized environments.