Principal Software Engineer, AI Core Infrastructure at OCI

Oracle•Nashville, TN

25d•$114,600 - $234,600

About The Position

Oracle Cloud Infrastructure (OCI) is hiring a Principal Software Engineer for a software development team building services to operate AI infrastructure at scale. The team turns complex operational processes into reliable AI-driven services, automated workflows, and AI agents that help engineers assess GPU infrastructure health, investigate and resolve issues, and make informed decisions. Its work spans infrastructure lifecycle management, operational visibility, GPU infrastructure delivery, and AI-assisted automation, in partnership with operations, infrastructure, and engineering teams. This is a hands-on individual contributor role leading the design and delivery of software platforms for AI infrastructure. The engineer translates ambiguous problems into technical designs, builds production services, owns significant initiatives, guides engineering decisions across systems, writes and reviews code, mentors engineers, and remains accountable for production performance. The role includes leading architecture and delivery of services and automation for AI infrastructure provisioning, validation, troubleshooting, and operations; building APIs, backend services, integrations, and tools; and developing AI-assisted capabilities for investigation, knowledge retrieval, and workflow execution with evaluation, access controls, and human oversight. The engineer designs for reliability and safe recovery, leads initiatives from problem definition through rollout and production support, establishes engineering standards, and measures outcomes such as reduced manual effort, faster issue resolution, improved reliability, and adoption by operational users. The U.S. hiring range is $114,600–$234,600 per year. The position may also be eligible for bonus, equity, and compensation deferral. Oracle offers a comprehensive benefits package, including medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter benefits; a 401(k) plan with company match; paid time off and holidays; paid sick leave and parental leave; adoption assistance; an employee stock purchase plan; financial planning and group legal services; and voluntary insurance benefits.

Requirements

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 involving 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 sound 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 a related field, or equivalent practical experience.

Nice To Haves

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.

Responsibilities

Own architecture and delivery of services and automation supporting AI infrastructure provisioning, validation, troubleshooting, and ongoing operations.
Build reliable APIs, backend services, integrations, and tools that connect infrastructure systems and turn data into actionable workflows.
Develop AI-assisted capabilities for investigation, knowledge retrieval, and workflow execution, with appropriate evaluation, access controls, and human oversight.
Replace recurring manual tasks with reusable automation, using operational feedback to prioritize 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, and clear technical documentation.
Mentor engineers and align technical decisions with partner teams.
Measure results through reduced manual effort, faster resolution, improved reliability, and adoption by operational users.
Lead the 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 reliable 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 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 outcomes through reduced manual effort, faster issue resolution, and increased infrastructure availability.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability insurance.
Life insurance and AD&D.
Supplemental life insurance for employees, spouses, and children.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Flexible Vacation for eligible salaried employees; accrued vacation for other eligible employees.
11 paid holidays.
72 hours of paid sick leave upon hire, refreshed annually, with unused hours carrying over up to a 112-hour cap.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary auto, homeowner, and pet insurance.
Potential eligibility for bonus, equity, and compensation deferral.