Principal Software Engineer - AI Core Infrastructure

About the team

We are a software development team building OCI services to operate AI infrastructure at scale. We transform 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.

Our work spans infrastructure lifecycle management, operational visibility,  GPU infrastructure delivery, and AI-assisted automation. We partner with operations, infrastructure, and engineering teams to reduce repetitive work and improve the reliability and efficiency of large-scale GPU environments.

About the role

We are looking for a Principal Software Engineer to lead the design and delivery of software platforms for AI infrastructure. You will translate ambiguous problems into clear technical designs, build production services, and guide engineering decisions across multiple systems.

This is a hands-on individual contributor role. You will write and review code, own significant technical initiatives, mentor engineers, and remain accountable for how your systems perform in production.

What you will do

• 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.

Required qualifications

• 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.

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.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• 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.