Senior Systems Engineer

Oracle Corporation; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

Oracle Corporation is seeking a Senior Systems Engineer to join the AI Infra Operations team, supporting GPU infrastructure in OCI. You will help develop and maintain automation and tooling for GPU fleets across regions, ensuring high availability and robust observability.

You will troubleshoot production issues on Linux hosts and GPU systems, own incident response, and drive improvements in runbooks, monitoring, and deployment pipelines.

Qualifications

• 5+ years of software operations, systems administration or infrastructure automation experience.
• Proficiency in Python and Bash.
• Strong Linux administration experience.
• Good understanding of host-level networking and connectivity troubleshooting.
• Understanding of distributed systems communication patterns.
• Experience with data center or large-scale infrastructure operations.
• Troubleshooting across GPU hosts, OS, hardware, networking and services.
• Automation using shell scripting and operational tooling.
• Strong ownership, incident handling and reliability mindset.
• Hands-on experience with monitoring, deployment, configuration and support tooling.

Responsibilities

• Troubleshoot and resolve production issues involving Linux hosts, GPU systems, and host-network interactions.
• Support GPU host operations across provisioning, validation, incident response, and readiness activities.
• Own incident response and resolution for assigned services and escalate as needed.
• Identify recurring failure patterns and contribute improvements to runbooks, tooling, monitoring, and procedures.
• Collaborate with partner teams to resolve hardware, OS, networking, and service dependency issues.
• Contribute automation and scripting to reduce manual effort and improve reliability.
• Participate in on-call rotations and support critical infrastructure issues.
• Provide data-driven analysis to address problems rather than symptoms.

Skills

Python

Bash

Linux

Networking

Distributed systems

GPU infrastructure

Automation scripting

Incident management

Monitoring

Job description

We are seeking a Senior Systems Engineer to join the AI Infra Operations team supporting GPU infrastructure in Oracle Cloud Infrastructure (OCI). In this role, you will assist in the development and maintenance of automation and operational tooling for GPU fleets across multiple regions, ensuring high availability. You will collaborate with engineering and operations teams to build robust automation, observability, and reliability solutions while continuously working on and improving GPU operations.

Internal Responsibilities

• Independently troubleshoot and resolve production issues involving Linux hosts, GPU systems, and host-network interactions.
• Support GPU host operations across provisioning, validation, incident response, and operational readiness activities.
• Own incident response and resolution for assigned services while escalating appropriately when problems cross team or domain boundaries.
• Identify recurring failure patterns and contribute improvements to runbooks, tooling, monitoring, and operational procedures.
• Work with partner teams to resolve issues that span hardware, operating systems, networking, and service dependencies.
• Contribute automation and scripting improvements that reduce manual effort and improve operator effectiveness.
• Participate in on-call rotations and provide support for critical infrastructure issues.
• Provide data-driven analysis to address problems instead of symptoms.

Required Qualifications:

• 5+ years of software operations, systems administration or infrastructure automation experience with proficiency in Python and Bash.
• Strong Linux administration experience.
• Good understanding of host-level networking fundamentals, including TCP/IP, routing, DNS, interface behavior, and connectivity troubleshooting.
• Understanding of peer-to-peer, node-to-node, and service-to-service communication patterns in distributed systems.
• Experience supporting data center operations or large-scale infrastructure environments.
• Demonstrated troubleshooting experience across GPU hosts, operating systems, hardware, networking, drivers, and dependent services in production.
• Automation experience using shell scripting and operational tooling to reduce manual effort and improve reliability.
• Strong operational ownership, incident handling, and problem-solving skills in production environments.
• Hands-on experience with monitoring, deployment, configuration, and support tooling used in day-to-day operations.

Preferred Skills:

• Hands-on experience with GPU infrastructure, including NVIDIA and AMD based systems, and familiarity with GPU shapes or instance families.

External Responsibilities

• Independently troubleshoot and resolve production issues involving Linux hosts, GPU systems, and host-network interactions.
• Support GPU host operations across provisioning, validation, incident response, and operational readiness activities.
• Own incident response and resolution for assigned services while escalating appropriately when problems cross team or domain boundaries.
• Identify recurring failure patterns and contribute improvements to runbooks, tooling, monitoring, and operational procedures.
• Work with partner teams to resolve issues that span hardware, operating systems, networking, and service dependencies.
• Contribute automation and scripting improvements that reduce manual effort and improve operator effectiveness.
• Participate in on-call rotations and provide support for critical infrastructure issues.
• Provide data-driven analysis to address problems instead of symptoms.

Required Qualifications:

• 5+ years of software operations, systems administration or infrastructure automation experience with proficiency in Python and Bash.
• Strong Linux administration experience.
• Good understanding of host-level networking fundamentals, including TCP/IP, routing, DNS, interface behavior, and connectivity troubleshooting.
• Understanding of peer-to-peer, node-to-node, and service-to-service communication patterns in distributed systems.
• Experience supporting data center operations or large-scale infrastructure environments.
• Demonstrated troubleshooting experience across GPU hosts, operating systems, hardware, networking, drivers, and dependent services in production.
• Automation experience using shell scripting and operational tooling to reduce manual effort and improve reliability.
• Strong operational ownership, incident handling, and problem-solving skills in production environments.
• Hands-on experience with monitoring, deployment, configuration, and support tooling used in day-to-day operations.

Preferred Skills:

• Hands-on experience with GPU infrastructure, including NVIDIA and AMD based systems, and familiarity with GPU shapes or instance families.