Vice President, Compute Control Plane

Oracle

Confirmed live today High trust

Quick summary

Work type: On-site
Location: —
Salary: $264,500–$519,900 / yr
Posted: 1 day ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $392k

$98k $565k

below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $161,250–$250,050 — the blue band above. At the midpoint, this role pays about $392k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 652 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 512 roles with salary data.

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At a glance

TL;DR · Vice President, Compute Control Plane

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The Global Vice President, Compute Control Plane will lead the engineering organization responsible for the core software systems powering the compute infrastructure portfolio. This leader will own the evolution, scale, reliability, and operational excellence of the common compute platform and the control plane for provisioning, placement, lifecycle management, capacity orchestration, and fleet operations. Key responsibilities include driving architectural consistency, improving engineering velocity, and leading an AI transformation to enhance software development, testing, and incident management. The role requires deep expertise in distributed systems, cloud infrastructure software, control-plane architecture, and large-scale service design. You will manage complex systems involving state management, concurrency, fault tolerance, and replication to support rapidly growing AI and accelerated compute workloads while ensuring high availability and infrastructure cost efficiency.

Skills

Distributed Systems Cloud Infrastructure control-plane architecture Service APIs Orchestration Automation AI Predictive Analytics GPU Accelerated Compute Fault Tolerance State Management Concurrency Replication Observability Incident Management Platform Engineering

What you'll do

Own the engineering strategy, roadmap, and operational health of the common compute software platform.
Manage the architecture and operation of the compute control plane for provisioning, scheduling, and lifecycle management.
Drive the adoption of AI tools to improve software development, testing, and automated incident response.
Set high technical standards for distributed systems design, including fault tolerance, replication, and state management.
Ensure platform reliability by reducing customer-impacting incidents and advancing automated self-healing systems.
Optimize fleet orchestration to translate raw compute capacity into reliable, consumable cloud capacity.
Support rapidly growing AI and accelerated compute workloads by extending orchestration to GPU environments.
Monitor and report on key business metrics including availability, infrastructure cost, and engineering productivity.

What we're looking for

Must have 15+ years of experience in distributed systems, cloud infrastructure, systems software, or large-scale platform engineering.
Must have significant engineering leadership experience managing large, complex software organizations.
Must possess deep expertise in designing and operating distributed systems at scale.
Must have strong experience with control-plane architecture, service-oriented systems, APIs, state management, orchestration, and automation.
Must have proven experience operating highly available, mission-critical software services.
Must have demonstrated success improving the scalability, reliability, and operational efficiency of large infrastructure platforms.
Must have a strong operational mindset using service health and business metrics to drive engineering priorities.
Must have demonstrated ability to adopt emerging technologies, including AI, to improve software engineering and operational outcomes.

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