Global Vice President, Compute Control Plane

Role Overview
The Global Vice President, Compute Control Plane will lead the engineering organization responsible for the core software systems that power the Compute infrastructure portfolio.This leader will own the evolution, scale, reliability, and operational excellence of the common compute platform and the control plane responsible for provisioning, placement, lifecycle management, health management, capacity orchestration, and fleet operations.The role requires deep expertise in distributed systems, cloud infrastructure software, control-plane architecture, large-scale service design, and operating mission-critical systems at hyperscale. The GVP will drive architectural consistency, simplify complex systems, improve engineering velocity, and raise the bar on reliability and operational performance.
A major component of the role will be using AI transformation to take the platform and engineering organization to the next level. The GVP will drive practical adoption of AI across software engineering, testing, operations, reliability, incident management, fleet orchestration, and engineering productivity.This is both an engineering and business leadership role. The GVP will connect platform and AI-transformation investments to customer experience, capacity availability, cost, efficiency, reliability, and measurable business outcomes.
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $264,500 to $519,900 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.
Key Responsibilities
Compute Platform Ownership
Own the engineering strategy, roadmap, execution, and operational health of the common compute software platform.
Drive continued evolution toward greater scale, consistency, modularity, reliability, and operational simplicity.
Compute Control Plane
Own the architecture, engineering, and operation of the compute control plane across provisioning, scheduling, placement, capacity allocation, lifecycle management, configuration and state management, health monitoring, remediation, fleet orchestration, failure recovery, and service APIs.
AI Transformation and Engineering Productivity
Drive adoption of AI across the software development and operational lifecycle.
Use AI-assisted development tools to improve developer productivity, code quality, testing, debugging, modernization, and engineering velocity.
Apply AI to observability, anomaly detection, root-cause analysis, incident response, troubleshooting, automated remediation, capacity forecasting, scheduling, placement, and fleet optimization.
Distributed Systems and Platform Architecture
Set a high technical bar for distributed systems design across consistency models, state management, concurrency, fault tolerance, partitioning, replication, recovery, idempotency, dependency management, and service isolation.
Software Reliability and Operational Excellence
Own the operational health and reliability of the compute platform and control plane. Drive continuous reduction in customer-impacting incidents, provisioning failures, service degradation, and operational toil.
Advance automated remediation, self-healing systems, and intelligent operational tooling.
Scale, Performance, and Efficiency
Ensure the compute platform can support continued rapid growth in fleet size, request volume, service complexity, and customer demand. Identify and remove scalability bottlenecks and improve throughput, latency, service efficiency, and software infrastructure cost.
Platform APIs and Developer Experience
Drive a coherent API and service model across the compute platform. Improve consistency, usability, observability, lifecycle management, tooling, automation, and AI-assisted development capabilities.
Capacity and Fleet Orchestration
Own the software systems that translate compute capacity into reliable, consumable cloud capacity. Improve discovery, allocation, placement, balancing, onboarding, draining, maintenance, recovery, and lifecycle transitions.
Apply AI and predictive analytics to improve forecasting, placement, and fleet health.
AI and Accelerated Compute Software
Ensure