Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg or other similar technologies Strong expertise and experience with container orchestration systems like Kubernetes Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency Track record owning reliability and performance of cloud-native data platforms (AWS/Kubernetes), including capacity planning, cost optimization, and incident response for production-critical systems Experience designing, building, and operating large-scale distributed data infrastructure (e.g., Spark, Flink, Kafka, other equivalent data technologies) supporting petabyte-scale batch and streaming pipelines with high availability and low latency. Contribute to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation.5+ years of experience in Infrastructure Engineering with a strong focus on building, scaling and operating cloud based distributed data systems.