VP, Compute Control Plane & AI-Driven Platform

Oracle Corporation; United States; On-site; USD 265,000 - 520,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Paid time off

401(k) match

Volunteer programs

Job summary

Oracle Corporation in the United States is seeking a Group Vice President, Compute Control Plane to lead the engineering organization responsible for core software powering the Compute infrastructure portfolio.

The role combines engineering leadership with business outcomes, focusing on scale, reliability, and AI-driven transformation across provisioning, scheduling, and fleet operations. Strong distributed systems background required.

Qualifications

• 15+ years of distributed systems and cloud infrastructure experience.
• Significant engineering leadership across large teams.
• Experience with control-plane architecture and orchestration.
• Proven ability to adopt AI to improve software engineering.
• Proven track record of reliability and scale in production.

Responsibilities

• Lead the compute platform strategy, roadmap, and operational health.
• Own compute control plane architecture across provisioning, placement, and lifecycle management.
• Drive AI transformation across development, testing, operations, and reliability.
• Set high technical bar for distributed systems and platform architecture.
• Improve observability, incident response, and automated remediation.
• Lead a large engineering organization spanning distributed systems and platform operations.
• Translate AI investments into measurable business outcomes.

Skills

Distributed systems

Cloud infrastructure

Technical leadership

AI in software engineering

Platform engineering

Service APIs

Job description

Oracle Corporation in the United States is seeking a Group Vice President, Compute Control Plane to lead the engineering organization responsible for core software powering the Compute infrastructure portfolio.

The role combines engineering leadership with business outcomes, focusing on scale, reliability, and AI-driven transformation across provisioning, scheduling, and fleet operations. Strong distributed systems background required.