Responsibilities
- Lead development and architecture of scalable, elastic distributed-system components.
- Define scalability requirements and optimize code and data paths for high-throughput workloads.
- Design fault-tolerant, in-service-upgradable systems using redundancy, replication, failover, partition policies, load shedding, throttling, and rate limiting.
- Establish KPIs, telemetry, dashboards, and alerts for operational monitoring.
- Develop fault-injection, brownout, replication, and synchronization validation mechanisms.
- Diagnose and resolve production issues, ensure operational readiness, and mentor peers.
- Implement security controls, remediation, compliance documentation, and infrastructure automation for safe patching, updates, and rollbacks.
Requirements
- The posting requires principal-level expertise in scalable distributed systems, reliability, observability, production operations, security controls, and infrastructure automation.
- Experience designing systems for high-throughput, hyper-scale retrieval, storage, and processing is required by the stated responsibilities.
- Ability to handle network unreliability, ensure correctness and durability, and meet service-level objectives is required.
- Experience with fault injection, replication, synchronization, change-management plans, and production issue resolution is expected.
- Peer mentoring and ownership of complex infrastructure components are expected.
Benefits
- Flexible medical, life insurance, and retirement options are offered.
- Oracle supports employee volunteer programs and community participation.
- The employer provides accessibility assistance and reasonable accommodation during the employment process.
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.