RESPONSIBILITIES:- Focus on automation and providing insight for the Infrastructure service reliability and availability through extensible services & platforms. - Design, implement and maintain software & tools for large-scale distributed systems especially Big Data stack of technologies like Iceberg, S3, HDFS, Hive, Ranger. - Experience in operating and deploying container orchestration systems like Kubernetes &/ YARN. - Utilize core computer science data structures, algorithms, and software tools in one of the languages - Python, Golang, Java or other JVM languages. - Experience in managing data pipelines using Kafka, Flink, Spark, Airflow & Jupyter. - Work with platform tools and automation systems including deployment automation practices especially across multi-AZ or DC infrastructure using CM tools like Saltstack, Ansible, Terraform, etc. - Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes - Build automation to enable self-healing systems. - Ensure compliance with appropriate security standards. - Deploy and debug systems built for horizontally scalable multi-tenant deployments.