Senior Manager, Core Infrastructure Engineering

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.

Responsibilities

• Lead, mentor, and develop a team of Core Infrastructure Engineers responsible for designing, implementing, and maintaining the infrastructure that supports our largest GPU/AI/ML customers.
• Drive the design, development, testing, validation, and deployment readiness of our automated GPU Cluster deployment tool (similar to AWS Parallel Cluster, Azure Cycle Cloud) with Slurm and/or Oracle Kubernetes Engine (OKE) to streamline operations and enhance productivity.
• Build collaborative relationships with OCI Services team, customers, and sales teams to deliver reliable, scalable infrastructures.
• Act as a technical liaison between customers, core engineering teams, and support.
• Work with OCI strategic customers to grow our business in pre‑ and post‑sales stages in a technical infrastructure expert role.
• Take ownership of problems, identify solutions, and document potential issues impacting customers.
• Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre‑processing techniques.
• Troubleshoot infrastructure performance, scalability, and reliability issues; implement solutions to mitigate risks and minimize downtime.
• Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability.
• Educate customers and partners on best practices around advanced GPU solutions and how to migrate workloads to the cloud.
• Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.

Core Responsibilities

• Planning & Execution: Oversee and guide multiple teams on complex projects, monitor timelines, deliverables, and budgets, serve as a role model for delegating work, setting priorities, and aligning with business needs.
• Collaboration & Partnership: Lead cross‑functional collaborative efforts, empower teams to build and maintain partnerships with business leaders, stakeholders, and customers, and model transparency and inclusivity.
• Problem Solving: Share problem‑solving strategies, provide oversight on complex operational or technical issues, coach teams in analyzing data to identify solutions and root causes.
• Continuous Learning: Pursue strategic learning opportunities, create development opportunities for team members, identify skill‑gap trends, and evaluate learning strategy effectiveness.
• Continuous Improvement: Empower teams to develop and implement ideas that increase efficiency of processes, protocols, and workflows; prioritize improvement initiatives to align with strategic direction.
• Performance and Development: Drive performance through tailored feedback and coaching, ensure consistency in talent development procedures, align individual development goals with organizational initiatives, and collaborate with HR on hiring and promotion processes.

Qualifications

• 7+ years of senior software engineering leadership or related experience.
• Strong communication and collaboration skills; ability to convey technical concepts to non‑technical stakeholders.
• Demonstrated leadership and people‑management abilities.
• Proven experience building and managing distributed/cloud software engineering solutions.
• Ability to develop short, medium, and long‑term plans to achieve strategic objectives and interact with senior management.
• BS or MS degree or equivalent experience relevant to the functional area.
• Experience with tools such as Ansible, Terraform, Python, and containerization technologies (Docker, Kubernetes) and orchestration tools.
• Solid understanding of networking concepts, security principles, and best practices.
• Excellent problem‑solving skills; ability to troubleshoot complex issues in a fast‑paced environment.
• Strong Linux skills (Oracle Linux/RHEL/CentOS, Ubuntu, Debian), including system administration, package management, shell scripting, and performance optimization.
• Proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.

Pay

Hiring range in USD from $146,300 – $306,400 per year. May be eligible for bonus, equity, and compensation deferral.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion
• Short‑term and long‑term disability
• Life insurance and AD&D; supplemental life insurance (employee/spouse/child)
• Health care and dependent care Flexible Spending Accounts
• Pre‑tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Flexible Vacation (accrual based on hours worked) and 11 paid holidays
• Paid sick leave (72 hours at hire, refreshed annually, up to 112‑hour cap)
• Paid parental leave and adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal services
• Voluntary benefits including auto, homeowner, and pet insurance