Responsibilities
- Provide technical leadership for a set of OCI network monitoring and observability services.
- Design and evolve scalable, reliable distributed services for collecting, processing, storing, and analyzing network telemetry.
- Own service architecture and technical decisions across telemetry ingestion, stream processing, metrics, alerting, and network health monitoring.
- Drive improvements in availability, data integrity, latency, scalability, performance, reliability, and operational efficiency.
- Lead resolution of complex production issues and identify bottlenecks in cloud-scale services.
- Collaborate with network engineering, infrastructure, and dependent service teams.
- Mentor engineers and contribute to architecture and engineering standards across the Network Monitoring organization.
Benefits
- Competitive benefits with flexible medical, life insurance, and retirement options.
- Employee volunteer programs and community-giving opportunities.
- Accessibility assistance and accommodation are available throughout 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.