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# Principal Software Engineer, Core Infrastructure

- **Company:** Oracle
- **Location:** Nashville, TN, United States
- **Experience:** Expert
- **Salary:** $114,600.0 - $234,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Computer Engineering, Data Centers, Data Structures, Distributed Data Store, Distributed Systems, Failover, Fault Tolerance, Firmware, Hardware Design, Load Testing, Object-Oriented Software Development, Reliability Engineering, System Programming, AI Infrastructure, Data Processing, Google Cloud, Software Security, Rate Limiting, System-level Testing, Infrastructure Automation Frameworks, Information Technology, Hardware Infrastructure, Oracle Cloud Infrastructure, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.nashvillejobsite.com/job.asp?id=3467736339&tx=FK906PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
 * 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure.
 * Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems.
 * Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go.
 * Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices.
 * Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response.
 * Demonstrated experience leading or influencing technical architecture and mentoring engineers.
 * Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications
 * Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms.
 * Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing.
 * Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment.
 * Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure.

## Description

* Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments.
 * Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455.
 * Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery.
 * Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship.
 * Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery.

Responsibilities

Responsibilities

 * Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale.
 * Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them.
 * Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns.
 * Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design.
 * Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts.
 * Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems.
 * Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness.
 * Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence.
 * Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management.
 * Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications