Base Salary
$146k - $306k/yr
Responsibilities
- Lead architecture and mentorship for highly scalable, elastic, interdependent distributed systems.
- Identify performance bottlenecks and optimize systems for hyperscale workloads.
- Drive distributed state management, data-plane platform innovation, redundancy, replication, failover, and fault tolerance.
- Establish standards for availability, durability, reliability, observability, telemetry, dashboards, alerting, and SLOs.
- Apply formal verification techniques such as TLA+ and develop replication and synchronization strategies.
- Lead production incident response, complex issue resolution, root cause analysis, operational readiness, and SOP standards.
- Design security controls, vulnerability remediation, compliance practices, infrastructure-as-code, automation, patching, upgrades, and rollbacks.
- Lead high-impact initiatives involving timelines, deliverables, resources, budgets, and changing priorities.
- Influence cross-functional leaders and stakeholders on strategic objectives and long-term partnerships.
- Serve as a technical thought leader, escalation point, mentor, interviewer, and contributor to talent development.
- Drive organization-wide improvements to processes, tools, workflows, and effectiveness metrics.
Requirements
- Principal-level software engineering and technical leadership experience architecting large-scale distributed systems and cloud infrastructure.
- Demonstrated expertise in scalability, performance optimization, elasticity, fault tolerance, replication, failover, reliability, and data-plane systems.
- Experience with observability, telemetry, dashboards, alerting, SLO-based standards, incident response, and root cause analysis.
- Experience designing security and compliance controls for multi-tenant environments.
- Experience with infrastructure-as-code, operational automation, patching, upgrades, rollbacks, and change management.
- Knowledge of formal verification techniques such as TLA+ and advanced replication or synchronization strategies.
- Ability to lead complex initiatives, influence cross-functional stakeholders, mentor teams, and serve as an escalation point.
- Experience participating in candidate assessment, interviews, hiring decisions, and organizational talent development.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability coverage.
- Life insurance, AD&D, and supplemental life insurance for employees, spouses, and children.
- 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.
- 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.-based role with applications generally accepted for at least three calendar days or while the posting remains active.
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.