Responsibilities
- Lead development and begin architecting scalable, elastic distributed-system components.
- Define scalability requirements and optimize code and data paths for hyperscale workloads.
- Design fault-tolerant, in-service-upgradable systems using redundancy, replication, failover, partition policies, load shedding, throttling, and rate limiting.
- Establish KPIs and telemetry, and build proactive dashboards and alerts.
- Design fault-injection, brownout, replication, and synchronization validation for correctness and durability.
- Diagnose and resolve production issues, ensure operational readiness, and mentor peers.
- Implement security controls, remediate issues, maintain compliance documentation, and develop infrastructure automation for safe patching, updates, and rollbacks.
Requirements
- Experience designing distributed control loops and reasoning about performance and correctness at scale.
- Ability to own components from design through production operation.
- Experience building high-throughput, fault-tolerant, observable distributed systems.
- Experience with replication, failover, synchronization, rate limiting, telemetry, and production reliability practices.
- Experience with security remediation, compliance documentation, infrastructure automation, and change-management plans.
- Strong interest in understanding system failure modes and solving ambiguous technical problems.
Benefits
- Flexible medical, life insurance, and retirement options.
- Employee volunteer programs.
- Accessibility assistance and reasonable accommodations are available during the employment process.
Tech Stack
Categories
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.