Job Description
Job Description U.S. Citizenship required and eligibility for a Federal Security Clearance Our Team Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data, Analytics Platform. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. Oracle Health Data, Analytics Platform has a rare opportunity to play a critical role in how Oracle Health products impact and disrupt the healthcare industry by transforming how healthcare and technology intersect. You will have the opportunity to: Reach billions of people with our products & services Create technology in which truly impacts the world Ability to have immediate impact on developing technology Unlimited growth potential with inspiring work Work with the best minds in the industry Enjoy working in an open, diverse, and productive environment About The Job This role provide support to core data platforms behind Oracle Health’s Data & Analytics Platform. As a Senior Site Reliability Engineer (SRE), you will own shared, mission-critical systems used by multiple products and teams. You will work on the design and operation of large-scale, stateful distributed platforms, including Hadoop ecosystem components (HDFS, YARN, HBase) deployed on Oracle Big Data Service (BDS), Kafka, and Storm. These multi-tenant platforms are deployed and operated through Ansible- and Terraform-based automation and require strong architectural ownership to manage scale, change, and broad blast radius. What You'll Do Platform Ownership & Technical Leadership Own the end-to-end reliability, scalability, and operability of shared data platforms Define platform standards, architectural direction, and operational guardrails Influence cross-team technical decisions and long-term platform strategy Drive long-term platform evolution and influence reliability strategy across the data ecosystem Architecture & Design Clearly articulate system behavior, dependencies, and failure modes Make principled trade-offs between reliability, performance, cost, and complexity Provide guidance and guardrails that enable downstream teams to use platforms safely and effectively Operations Engineering Establish capacity models, scaling strategies, and operational best practices Design platforms that behave predictably under load, failure, and change Own platform lifecycle events: upgrades, expansions, decommissioning, and recovery Distributed Systems Expertise Operate and evolve stateful distributed systems where data placement, replication, and recovery are critical Reason about failure modes such as backpressure, rebalancing, region movement, replication lag, and rolling upgrades Security Operate and maintain Kerberized platforms, including authentication, authorization, and secure service-to-service communication Treat security as a first-class architectural concern Automation Design and evolve an Ansible- and Terraform-driven automation framework Treat automation as production software: versioned, reviewed, tested, and improved Eliminate operational toil by encoding reliability and safety into the platform Incident Leadership & Prevention Serve as the ultimate escalation point for complex or ambiguous incidents Focus on eliminating entire classes of failure, not just resolving individual issues Representation Represent SRE and platform engineering in high-visibility and sensitive forums Communicate clearly with engineering leadership and partner teams Responsibilities RESPONSIBILITIES The team operates within the Oracle Health Data & Analytics Platform, supporting one of Oracle Health’s core products, HealtheIntent. We operate the big data and streaming infrastructure that enables downstream teams to deliver reliable customer-facing solutions at scale, while continuously improving operability and efficiency. Required Experience 4+ years operating large-scale, customer-facing distributed platforms Deep experience with HDFS, YARN, H