Description

• Deep experience designing, building, and operating real-time data platforms, streaming architectures, and distributed systems in complex enterprise environments.
• At least 8 years of hands-on experience running real-time streaming solutions in production at scale, with accountability for reliability, performance, observability, recovery, and operational stability.
• Strong software engineering capability, with fluency in Java programming and a track record of writing production-grade code and leading technical implementation for business-critical systems.
• Strong technical credibility in streaming and event-driven systems, including topics such as partitioning, ordering, stateful processing, delivery semantics, replay, fault tolerance, and platform resilience.
• Proven experience leading engineering teams, mentoring developers, and driving delivery while maintaining high standards across design, coding, testing, and operational support.
• Experience working with modern streaming and data technologies such as Kafka, Pulsar, Kinesis, Flink, Spark Structured Streaming, or equivalent platforms, with the judgment to select the right patterns for the problem.
• Strong understanding of control, governance, and risk management expectations for production data platforms, particularly where resilience, auditability, and data correctness are business critical

Key Skills

Education

Any Gradute