Base Salary
$115k - $235k/yr
Responsibilities
- Lead development and begin architecting scalable, elastic distributed-system components.
- Define scalability, performance, durability, availability, and service-level requirements for owned components.
- Optimize systems and data paths for large-scale processing and high-throughput workloads.
- Design fault-tolerant systems using redundancy, replication, automatic failover, consistency and partition-handling strategies, load-shedding, throttling, and rate-limiting.
- Define KPIs and telemetry and build dashboards and alerting to monitor system health.
- Design correctness, fault-injection, brownout, replication, and synchronization scenarios.
- Diagnose, debug, and resolve production issues; participate in operational support rotations, incident response, and root-cause investigations.
- Implement security controls, execute remediation plans, and maintain cloud compliance documentation.
- Develop infrastructure-as-code automation and change-management processes for patching, updates, and rollbacks.
- Coordinate moderately complex initiatives, provide technical oversight, mentor junior team members, participate in interviews, and recommend process improvements.
Requirements
- Demonstrated ability to develop and architect scalable distributed systems for horizontal and vertical scaling.
- Experience optimizing high-throughput systems and large-scale data processing paths.
- Experience designing fault-tolerant, durable, and highly available systems with replication, failover, and synchronization.
- Experience with performance and load testing, telemetry, dashboards, alerting, and complex fault-injection validation.
- Experience troubleshooting production systems and participating in incident response or operational support.
- Experience implementing security controls, remediation, encryption, access controls, and compliance practices in multi-tenant cloud environments.
- Experience developing infrastructure-as-code automation and managing patching, updates, and rollbacks.
- Ability to coordinate moderately complex projects, provide technical oversight, collaborate across teams, mentor engineers, and contribute to hiring.
- Ability to pursue continuous learning and improve engineering processes and workflows.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability insurance.
- Life insurance, AD&D, and supplemental life insurance for employees and dependents.
- Health care and dependent care flexible spending accounts.
- Pre-tax commuter and parking benefits.
- 401(k) savings and investment plan with company match.
- Paid vacation, with accrual varying by work schedule and tenure.
- 11 paid holidays.
- Paid sick leave of 72 hours upon hire, refreshing annually and carrying over up to a 112-hour cap.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning and group legal benefits.
- Voluntary auto, homeowner, and pet insurance benefits.
- U.S. hiring range is $114,600 to $234,600 per year; the role may also be eligible for bonus, equity, and compensation deferral.
- Applications are generally accepted for at least three calendar days from posting or while the role remains posted.
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.