Site Reliability Developer 3

Oracle

46d

About The Position

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 provides technical leadership for the 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 support 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.

Responsibilities

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
Clearly articulate system behavior, dependencies, and failure modes
Make trade-offs between reliability, performance, cost, and complexity
Provide guidance and guardrails that enable downstream teams to use platforms safely and effectively
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
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
Operate and maintain Kerberized platforms, including authentication, authorization, and secure service-to-service communication
Treat security as a first-class architectural concern
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
Serve as the ultimate escalation point for complex or ambiguous incidents
Focus on eliminating entire classes of failure, not just resolving individual issues
Represent SRE and platform engineering in high-visibility and sensitive forums
Communicate clearly with engineering leadership and partner teams