Responsibilities
- Design, implement, and optimize distributed-system components for scalability, resiliency, and operability.
- Build fault-tolerant paths using redundancy, replication, automatic failover, retries, circuit breakers, and timeouts.
- Develop deployment orchestration, operational automation, infrastructure automation, and troubleshooting capabilities.
- Create load and performance tests and use data-plane platforms and distributed-state tools for high-volume retrieval, storage, and processing.
- Detect and mitigate issues using tests, alarms, dashboards, and telemetry.
- Author runbooks, participate in incident response and root-cause analyses, and review peer implementations for scalability compliance.
- Implement replication and synchronization and apply encryption, access, remediation, compliance, and documentation controls.
Requirements
- Senior-level software engineering experience focused on distributed systems, cloud infrastructure, developer platforms, deployment orchestration, or reliability engineering.
- Ability to design systems for scalability, resiliency, operability, and fault tolerance.
- Experience with operational automation, troubleshooting, observability, incident response, and root-cause analysis.
- Knowledge of replication, synchronization, recovery-oriented design, and advanced security controls.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Volunteer programs that support employee community involvement.
- Accessibility assistance and accommodation are available throughout 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.