Manager, Core Infrastructure Engineering
Oracle, Nashville, Tennessee
- Pay
- $126K–$264K / year
- Work type
- Onsite
- Level
- Not stated, manager
- Area
- Infra, platform & SRE, Inference & ML systems, ML / AI engineering
- Posted
- Sep 28, 2026
About the role
Job Description
Oracle Cloud Infrastructure (OCI) is building some of the world's largest and most advanced GPU clusters to power the next generation of AI. The Strategic Customer Engineering (SCE) Core Infrastructure team—also known as the AI/ML Forward Deployed Infrastructure Engineering team—provides white-glove engineering and operational support to OCI's most strategic AI/ML infrastructure customers.
As a trusted partner to our customers, we play a critical role in designing, deploying, operating, and optimizing the infrastructure that powers some of the largest and most demanding GPU and AI/ML environments in the world. Our team works closely with customers and internal engineering organizations to ensure exceptional reliability, performance, and scalability for mission-critical AI workloads.
We are seeking a Manager to lead and develop a class of early-career Infrastructure Engineers. This leader will create the conditions for new professionals to build sound technical judgment, strong customer habits, and the practical skills required to support strategic AI/ML infrastructure customers on OCI. The manager will combine people leadership with hands-on operational guidance, helping the class grow into effective engineers who can independently contribute to customer execution, automation, troubleshooting, and infrastructure performance.
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RESPONSIBILITIES
Lead, mentor, and develop a class of early-career Engineers, setting clear expectations for technical growth, customer engagement, quality, and ownership.
Design and run an onboarding and development program that gives early-career professionals progressive experience with GPU cluster deployment, Slurm and/or Oracle Kubernetes Engine (OKE), automation, monitoring, multicloud, database and operational readiness.
Provide regular coaching, feedback, career guidance, and practical learning opportunities. Pair team members with appropriate mentors and create stretch assignments that build confidence and sound engineering judgment.
Guide the team in building collaborative relationships with OCI Services, customers, sales, and core engineering teams. Model clear technical communication and help team members become effective, trusted customer partners.
Establish a safe, accountable environment where early-career professionals learn to take ownership of problems, investigate issues thoroughly, document risks, and escalate with context when needed.
Coach team members on infrastructure performance fundamentals, including parameter tuning, resource utilization, caching, and data pre-processing techniques for AI/ML workloads.
Oversee the team's approach to troubleshooting performance, scalability, and reliability issues. Review complex cases, remove barriers, and ensure lessons learned are incorporated into team practices.
Ensure the team documents infrastructure designs, configurations, runbooks, and procedures so knowledge is shared, work is maintainable, and new professionals can learn from repeatable practices.
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Listed; checked 25 h ago. First seen by us 25 h ago. Being listed doesn't mean the team is actively interviewing.