1 month ago
Base Salary
$170k - $355k/yr
Responsibilities
- Define and evolve the architecture of the core compute software platform and control plane.
- Establish service boundaries, APIs, interfaces, and ownership models across compute platform components.
- Provide technical leadership for provisioning, scheduling, placement, capacity allocation, lifecycle management, fleet orchestration, monitoring, remediation, and regional isolation.
- Drive distributed-systems architecture covering consistency, concurrency, state management, partitioning, replication, idempotency, failure recovery, and service isolation.
- Design for scalability, reliability, resilience, fault containment, graceful degradation, recovery, deployment safety, and performance.
- Identify legacy complexity and define modernization strategies that preserve production stability.
- Lead architecture reviews, influence technical direction across organizations, mentor senior engineers, and partner with senior technical and executive leaders.
- Identify opportunities for AI-assisted software development and AI-driven operational improvements.
Requirements
- Requires 12+ years of experience in software engineering, distributed systems, cloud infrastructure, or large-scale platform development.
- Requires deep expertise in software architecture, distributed systems, cloud infrastructure, control-plane architecture, service APIs, state management, orchestration, and automation.
- Requires experience designing and operating large-scale, highly available, scalable, reliable, and fault-tolerant services.
- Requires the ability to reason across complex software systems, identify architectural simplifications, and influence technical direction across multiple teams.
- Requires strong programming and systems fundamentals.
- Preferred experience includes cloud compute platforms, infrastructure control planes, scheduling, placement, provisioning, resource management, fleet orchestration, multi-region systems, failure domains, and infrastructure modernization.
- Preferred qualifications include understanding cloud infrastructure economics and experience applying AI-assisted development or AI-driven operational techniques in production.
- Experience with GPU or accelerated compute infrastructure from a software platform perspective is preferred.
- A bachelor's, master's, or PhD degree in Computer Science, Computer Engineering, or a related technical discipline is preferred.
Benefits
- Oracle offers medical, dental, and vision insurance, disability coverage, life insurance, flexible spending accounts, commuter and parking benefits, a 401(k) plan with company match, paid time off, paid holidays, paid sick leave, paid parental leave, adoption assistance, an employee stock purchase plan, financial planning, group legal services, and voluntary insurance benefits.
- The role is a U.S.-based position with a hiring range of $169,800 to $355,400 per annum, plus possible bonus, equity, and compensation deferral.
- The posting generally accepts applications for at least three calendar days or while the position remains posted.
- U.S.-based employees must complete identity verification involving biometric information, with accommodations potentially available following an individualized assessment.
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.