Lead Principal Core Infrastructure Engineer

Mentors teams and leads the architecture of highly scalable, interdependent distributed systems. Identifies and removes performance/scalability bottlenecks for hyper‑scale workloads; defines scalability requirements with stakeholders; and designs elastic, high‑impact systems while advancing innovation in data plane platforms. Engineers and oversees fault‑tolerant, in‑service‑upgradable designs; optimizes resilience mechanisms (load‑shedding, throttling, rate‑limiting); and sets SLO‑aligned durability and availability standards across dependent services. Establishes KPIs and advanced telemetry; applies formal verification for complex features; and develops robust replication/synchronization strategies. Advises and leads resolution of complex production issues, sets operational readiness and SOP standards, and directs incident response and RCAs. Architects advanced security controls, drives remediation and compliance, and delivers enterprise‑level automation (IaC) and change strategies enabling safe, automated patching, updates, and rollbacks.

Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to the market.  The AI Infrastructure organization at OCI is leading this effort by creating a GPU focused cloud with the latest hardware providing the best performance, efficiency, reliability, and scalability.  This is your chance to be part of the AI revolution by creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance. You will have the opportunity to work with cutting-edge technologies and make a significant impact on our organization's success.

We are looking for a highly skilled and motivated distributed systems engineer who can architect solutions to scale and optimize AI infrastructure components like GPU control plane and GPU data plane that provide computing resources to customer AI workloads. You will provide technical leadership to the team and bring clarity to ambiguous problems and come up with innovative solutions. You will collaborate with cross-functional teams to enhance our AI infrastructure to deliver exceptional customer experience and peak performance.
 

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: $146,300 to $306,400 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.

Responsibilities

• Architect solutions to scale and optimize AI compute infrastructure components like GPU control plane and GPU data plane with the goal to optimize customer experience and customer workload performance on our AI infrastructure.
• Develop “best-in-class” AI compute infrastructure for our customers by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
• Collaborate with cross-functional teams, including development, operations, and product management, to understand their requirements and design respective solutions.
• Optimize and improve the software development process in the organization to improve developer efficiency.
• Mentor junior developers and drive modern software engineering practices like leveraging data/telemetry to make decisions, well-defined interfaces across components, design reviews, coding standards, code reviews, and comprehensive coverage from unit test, integration test and active production monitoring. 
• Develop benchmark metrics and automation to drive and track performance and reliability across customer workload and correlate with lower infrastructure stack. ­
• Stay updated with industry trends, emerging technologies, and best practices in distributed systems and AI infrastructure management.

Qualifications & Skills 

• BS (or equivalent experience) in Computer Science, Engineering, or related field.
• 10 years of experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust. 
• 5 years of experience designing and developing large-scale distributed systems, services and infrastructure.
• 3 years of experience providing technical leadership and clarity to cross-functional teams and projects while collaborating across stake holders.
• Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
• Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.

Preferred Qualifications

• Experience in managing cloud infrastructure with hundreds of thousands of servers.