Base Salary
$115k - $235k/yr
Responsibilities
- Lead the development and architecture of scalable, elastic distributed systems for hyperscale workloads.
- Define scalability requirements, optimize performance, and leverage distributed state management and data-plane platforms.
- Design fault-tolerant and highly available systems using redundancy, replication, failover, load shedding, throttling, and rate limiting.
- Establish SLOs, KPIs, telemetry, dashboards, and alerts for reliability and performance.
- Design performance, load, fault-injection, and brownout testing and implement replication and synchronization mechanisms.
- Diagnose production issues, guide incident response and root cause analysis, and ensure operational readiness.
- Enable in-service maintenance, safe patching, upgrades, updates, and rollbacks with minimal customer impact.
- Implement encryption, access controls, security remediation, compliance practices, IaC, and cloud infrastructure automation.
- Manage moderately complex initiatives and provide technical oversight for priorities, timelines, resources, and deliverables.
- Collaborate with teams and stakeholders, document solutions, improve processes, and incorporate feedback.
- Coach and mentor junior engineers and support candidate interviews, assessments, and hiring recommendations.
Requirements
- Principal-level software engineering experience designing scalable, elastic, fault-tolerant distributed systems for high-throughput workloads.
- Experience with performance engineering, distributed state management, replication, synchronization, observability, and reliability mechanisms.
- Ability to troubleshoot production issues, lead incident response and root cause analysis, and maintain operational readiness.
- Experience implementing security, compliance, encryption, access controls, infrastructure as code, and automation in multi-tenant cloud environments.
- Ability to lead moderately complex initiatives, provide technical oversight, collaborate across teams, and mentor engineers.
- Must meet applicable requirements for certain U.S.-based or customer-facing roles, which may include immunization, occupational health, or drug testing requirements.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, and supplemental life insurance.
- 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, 11 paid holidays, and paid sick leave with stated accrual and carryover policies.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan, financial planning, group legal, and voluntary insurance benefits.
- U.S. hiring range is $114,600 to $234,600 per annum, with potential bonus, equity, and compensation deferral eligibility.
- Applications are generally accepted for at least three calendar days or while the posting remains open.
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.