About Oracle Analytics & Big Data Service: Oracle Analytics is a complete platform that supports every role within analytics, offering cloud-native services or on-premises solutions without compromising security or governance. Our platform delivers a unified system for managing everything from data collection to decision-making, with seamless integration of AI and machine learning to help businesses accelerate productivity and uncover critical insights.

Oracle Big Data Service, a part of Oracle Analytics, is a fully managed, automated cloud service designed to help enterprises create scalable Hadoop-based data lakes. The service work scope encompasses not just good integration with OCI’s native infrastructure (security, cloud, storage, etc.) but also deep integration with other relevant cloud-native services in OCI. It includes doing cloud-native ways of doing service level patching & upgrades and maintaining high availability of the service in the face of random failures & planned downtimes in the underlying infrastructure (e.g., for things like patching the Linux kernels to take care of a security vulnerability). Developing systems for monitoring and getting telemetry into the service’s runtime characteristics and being able to take actions on the telemetry data is a part of the charter.

We are interested in senior engineers with expertise and passion for solving difficult problems in distributed systems and highly available services to join our Oracle Big Data Service team. In this role, you will be instrumental in building, maintaining, and enhancing our managed, cloud-native Big Data service focused on large-scale data processing and analytics. At Oracle, you can help, shape, design, and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. Engineers at any level can have significant technical and business impact.

Minimum Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum of 8 years of experience in software development, with a focus on large-scale distributed systems, cloud services, or Big Data technologies. Expertise in coding in Java, Python, Scala with emphasis on tuning/optimization Experience with Linux systems administration, troubleshooting, and security best practices in cloud environments. Familiarity with containerization and orchestration technologies like Docker and Kubernetes. Experience with automation tools and techniques for deployment, patching, and service monitoring. Experience with open-source software in the Big Data ecosystem Experience at an organization with strong operational/dev-ops culture Solid understanding of networking, storage, and security components related to cloud infrastructure. Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills.

Preferred Qualifications:

Strong hands-on experience with Hadoop ecosystem (HDFS, MapReduce, YARN), Spark, and other big data technologies. Proven expertise in cloud-native architectures and services, preferably within Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP. Deep understanding of Java and JVM mechanics Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.