Description

You will provide technical leadership and architect high-throughput, low-latency streaming systems.

Responsibilities

• Design, develop, and operate real-time streaming systems.
• Build and maintain event-driven architectures using Apache Kafka.
• Develop and manage stream processing pipelines using Apache Flink.
• Define reference architectures and engineering standards for data platforms.
• Troubleshoot complex production issues and drive root-cause resolution.

Required Skills

• Advanced knowledge of Apache Kafka (producers, consumers, topics, partitions, schema management).
• Strong experience with Apache Flink for real-time stream processing and state management.
• Deep hands-on experience with distributed NoSQL systems.
• Expertise in Apache Cassandra data modeling, cluster management, and high availability.
• Proven experience designing and operating streaming platforms at scale.
• Experience with Cloud Platforms (AWS, Azure, GCP) for data platform deployment.
• Experience integrating data platforms in On-Prem Infrastructure environments.
• 12+ years of professional experience.
• Bachelor's or Master's degree in Computer Science or related field.

Key Skills

Education

Bachelor's or Master's degrees