Senior AI Infrastructure Engineering Lead

JobCubby; Northern (KY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Oracle is seeking a senior engineering leader to own scalable AI compute infrastructure, guiding distributed systems, reliability, and security across multiple teams.

You will drive performance, telemetry, and governance while mentoring engineers and aligning with corporate OKRs. A background in cloud-scale deployments and containerized workloads is essential. This role emphasizes collaboration and strategic architecture.

Qualifications

• 9 years of experience in software development.
• Bachelor’s of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development
• Master’s of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development
• Master’s Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development
• Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development.

Responsibilities

• 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.

Skills

C

C++

C#

Java

Go

Rust

Education

Bachelor's in CS/Engineering or related field

Master's in Tech/CS or related field

Doctorate in CS/Engineering or related field

Tools

Docker

Kubernetes

Slurm

Terraform

AWS

Azure

Google Cloud

Job description

Oracle is seeking a senior engineering leader to own scalable AI compute infrastructure, guiding distributed systems, reliability, and security across multiple teams.

You will drive performance, telemetry, and governance while mentoring engineers and aligning with corporate OKRs. A background in cloud-scale deployments and containerized workloads is essential. This role emphasizes collaboration and strategic architecture.