Senior Manager, Core Infrastructure Engineering

Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high‑throughput, hyper‑scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault‑tolerant, in‑service‑upgradable systems, set SLO‑aligned durability/availability targets, and implement resiliency mechanisms (load‑shedding, throttling, rate‑limiting).

Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault‑injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on‑call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change‑management plans enabling safe patching, updates, and rollbacks.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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.

Career Level - M3

• Own and build 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.
• Set and communicate individual expectations and team goals such that they align with the broader organization goals.
• Model and coach team members 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.
• Prioritize team's work with focus on customer issues and requirements.
• Ensure that team solutions are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
• Create roadmap, define SMART goals, and track team progress against committed OKRs.

Qualifications & Skills:

• 10+ years'' experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
• 5+ years'' experience in people management or leadership role while working on cross-functional projects.
• 5+ years'' experience designing and developing large-scale distributed systems, services, and infrastructure.
• BS (or equivalent experience) in Computer Science, Engineering, or related field.
• Strong communication, collaboration, and project management skills.
• Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.

Preferred Qualifications:

• Experience managing cloud infrastructure with hundreds of thousands of servers.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience scheduling high-performance workloads on Kubernetes or Slurm.

System Design & Architecture - System Scalability:

• Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools.
• Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems.
• Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met.
• Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing.
• Ensures team accurately designs performance and load testing.

System Reliability Design:

• Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms.
• Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance.
• Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting.
• Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department.

System Reliability Performance:

• Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems.
• Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health.

Correctness / Availability:

• Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems.
• Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness.
• Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability.

Operational Troubleshooting & Incident Management:

• Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation.
• Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
• Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance.
• Oversees and approves schedules for operational support rotations.

Automation & Change Management:

• Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC)) to manage cloud infrastructure.
• Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes.

Compliance & Security:

• Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls.
• Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures.
• Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations.
• Own and build 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.
• Set and communicate individual expectations and team goals such that they align with the broader organization goals.
• Model and coach team members 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.
• Prioritize team's work with focus on customer issues and requirements.
• Ensure that team solutions are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
• Create roadmap, define SMART goals, and track team progress against committed OKRs.

Qualifications & Skills:

• 10+ years'' experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
• 5+ years'' experience in people management or leadership role while working on cross-functional projects.
• 5+ years'' experience designing and developing large-scale distributed systems, services, and infrastructure.
• BS (or equivalent experience) in Computer Science, Engineering, or related field.
• Strong communication, collaboration, and project management skills.
• Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.

Preferred Qualifications:

• Experience managing cloud infrastructure with hundreds of thousands of servers.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience scheduling high-performance workloads on Kubernetes or Slurm.

System Design & Architecture - System Scalability:

• Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools.
• Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems.
• Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met.
• Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing.
• Ensures team accurately designs performance and load testing.

System Reliability Design:

• Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms.
• Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance.
• Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting.
• Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department.

System Reliability Performance:

• Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems.
• Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health.

Correctness / Availability:

• Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems.
• Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness.
• Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability.

Operational Troubleshooting & Incident Management:

• Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation.
• Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
• Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance.
• Oversees and approves schedules for operational support rotations.

Automation & Change Management:

• Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC)) to manage cloud infrastructure.
• Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes.

Compliance & Security:

• Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls.
• Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures.
• Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations.