Lead Principal Core Infrastructure Engineer

Oracle

Nashville (TN)

In loco

USD 180.000 - 240.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Oracle Corporation in Nashville, TN is seeking a highly skilled distributed systems engineer to architect scalable AI infrastructure components, including GPU control and data planes, and to lead cross-functional efforts to optimize performance and reliability.

You will provide technical leadership, collaborate across teams, and drive incident response and RCAs, while advancing architecture with elastic, resilient designs and automation.

Competenze

  • Experience architecting scalable, distributed systems.
  • Ability to identify bottlenecks and optimize performance for hyper-scale workloads.
  • Experience with security controls and compliance.
  • Experience in IaC and automation for patching, updates, and rollbacks.

Mansioni

  • Architect scalable AI infrastructure components like GPU control plane and GPU data plane.
  • Provide technical leadership and cross-functional collaboration to improve performance and reliability.
  • Lead incident response and root-cause analysis (RCAs) for production issues.
  • Define SLOs, durability and availability standards across dependent services.

Conoscenze

Distributed systems
Performance optimization
Fault-tolerant design
Security controls
Infrastructure as Code
Telemetry
Incident response

Descrizione del lavoro

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.

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