Principal Software Engineer, AI Core Infrastructure

Oracle is building software platforms to run AI infrastructure at scale, and this role sits at the center of that effort. As a Principal Software Engineer in the AI Core Infrastructure organization, you will lead the architecture and delivery of production services that provision, validate, troubleshoot, and operate AI infrastructure reliably, with automation and AI-assisted capabilities built in.

What you’ll do

• Own the architecture and delivery of services and automation that support AI infrastructure provisioning, validation, troubleshooting, and ongoing operations.
• Build reliable APIs, backend services, integrations, and tools that connect infrastructure systems and convert data into actionable workflows.
• Develop AI-assisted capabilities for investigation, knowledge retrieval, and workflow execution, including evaluation, access controls, and human oversight.
• Replace repetitive manual operations with reusable automation, using operational feedback to guide priorities and improvements.
• Design for partial failures, retries, idempotency, auditability, observability, and safe recovery.
• Lead technical initiatives from problem definition through implementation, rollout, and production support.
• Establish engineering standards through design reviews, code reviews, testing practices, and clear technical documentation.
• Mentor engineers and help align technical decisions with partner teams.
• Measure outcomes through reduced manual effort, faster resolution, improved reliability, and adoption by operational users.
• Lead architecture, design, and development of OCI services that support AI infrastructure operations at scale.
• Build AI-driven services, automated workflows, and AI agents that help engineers assess GPU infrastructure health, investigate issues, and take corrective action.
• Design distributed systems and APIs that integrate infrastructure telemetry, inventory, diagnostics, and operational data.
• Translate complex operational needs into clear technical requirements and deliver solutions from concept through production.
• Develop safeguards for AI-driven actions, including access controls, evaluation, auditability, and human oversight.
• Own service reliability, performance, scalability, and security through testing, observability, safe deployments, and ongoing production support.
• Partner with operations and infrastructure teams to identify recurring problems and replace manual processes with reusable automation.
• Set technical direction, lead design and code reviews, and mentor engineers to strengthen engineering practices.
• Measure and improve results by reducing manual work, accelerating issue resolution, and increasing infrastructure availability.

What you bring

• 7+ years of professional software engineering experience, including ownership of complex production systems.
• Strong programming skills in Python, Java, Go, or a comparable language.
• Experience designing and operating distributed systems, backend services, and APIs.
• Strong understanding of data modeling, SQL, asynchronous processing, and integration across multiple systems.
• Experience with Linux, containers, Kubernetes, and cloud infrastructure.
• Demonstrated ability to diagnose production issues across application behavior, infrastructure, and data dependencies.
• Experience delivering secure, maintainable software with automated testing, deployment pipelines, monitoring, and operational documentation.
• Ability to lead technical work across teams, make architectural tradeoffs, and deliver under ambiguous requirements.
• Clear written and verbal communication skills, with experience mentoring engineers.
• Bachelor’s degree in computer science, engineering, or related field, or equivalent practical experience.

Team and role context

The team builds OCI services to operate AI infrastructure at scale. The work focuses on transforming complex operational processes into dependable AI-driven services, automated workflows, and AI agents that help engineers assess GPU infrastructure health, investigate and resolve issues, and support informed decisions. The role is a hands-on individual contributor position with accountability for production performance, including writing and reviewing code, owning significant technical initiatives, and mentoring engineers.

Location

• Nashville, TN (onsite)

Technology areas

• Python, Java, Go
• SQL
• Linux, containers, Kubernetes
• Cloud infrastructure, OCI

Preferred qualifications

• Experience with GPU infrastructure, AI/ML platforms, HPC, or large-scale data center environments.
• Experience building infrastructure automation, orchestration platforms, or event-driven workflows.
• Experience delivering LLM applications or AI agents, including tool integration, retrieval, evaluation, and production monitoring.
• Familiarity with infrastructure inventory, telemetry, incident management, or hardware lifecycle systems.
• Experience with OCI or another major cloud platform.