Senior Core Infrastructure Engineer

Oracle Corporation; Nashville (TN); On-site; USD 150,000 - 190,000; Full time

Job summary

Oracle Corporation in Nashville seeks a senior software engineer to lead the design and evolution of core distributed systems and data-plane services in a hyperscale, multi-tenant environment. You will define scalability requirements, optimize high-throughput data paths, and implement fault-tolerant architectures with in-service updates.

Applicants should have 3+ years in distributed systems, proficiency in Java/C++/C#/Go, and experience with system-level testing, reliability engineering, and

Qualifications

• Bachelor's or master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• 3+ years of professional software-engineering experience with impact on large-scale distributed systems or cloud infrastructure.
• Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems.
• Proficiency in object-oriented or systems programming languages such as Java, C++, C#, or Go.
• Deep understanding of distributed-systems design, data structures, algorithms, OS, 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.

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.

Skills

Java

C++

C#

Go

Distributed systems

Cloud infrastructure

Problem solving

Communication

Education

Bachelor's or Master's in CS/CE or related field

Tools

Oracle Cloud

AWS

Azure

Google Cloud

Job 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.

Internal 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

• Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 3+ 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.

External 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

• Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 3+ 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.