Lead Principal Platform Software Engineer

Oracle•United States,

10d•$113,600 - $306,400

About The Position

Join Oracle Cloud Infrastructure’s AI team to build and operate cloud platforms and services that power AI workloads at scale. In this IC5 individual-contributor role, you will own complex technical initiatives from architecture and implementation through production operations, translating ambiguous customer and business needs into secure, reliable, and efficient solutions. You will apply deep distributed-systems expertise and hands-on software development to guide technical decisions across teams and mentor engineers. You will help improve execution across the software development lifecycle, serve as a subject-matter expert for new software features and enhancements, ensure accessibility, and create documentation that clarifies software. Your work will shape shared platform capabilities, improve service performance and operational excellence, and deliver measurable customer impact. Oracle takes an AI-forward approach to engineering. You will use AI throughout the software development lifecycle and help teams adopt effective AI-assisted workflows for design, coding, testing, review, debugging, and operations. You will pair these capabilities with rigorous validation, sound engineering judgment, and accountability for production outcomes. The role also sets group-wide guardrails for platform interoperability, security controls, and client-library governance; owns cross-group programs such as identity, configuration, and API gateway standards; establishes shared observability frameworks and rollout policies; and manages deprecation risk. The U.S. hiring range is $113,600–$306,400 per annum. The role may also be eligible for bonus, equity, and compensation deferral. Oracle offers a comprehensive benefits package, including insurance, retirement savings, paid time off, paid holidays, paid sick leave, paid parental leave, adoption assistance, and other benefits. The role generally accepts applications for at least three calendar days from the posting date or while the job remains posted.

Requirements

Deep expertise in distributed systems.
Hands-on software development experience.
Ability to own complex technical initiatives from architecture and implementation through production operations.
Ability to translate ambiguous customer and business needs into secure, reliable, and efficient solutions.
Ability to guide technical decisions across teams and mentor engineers.
Ability to use AI-assisted workflows with rigorous validation, sound engineering judgment, and accountability for production outcomes.
Ability to lead cross-team technical initiatives and influence engineering standards.

Responsibilities

Own the technical direction and end-to-end delivery of complex initiatives spanning multiple teams, from requirements and architecture through implementation, rollout, and operations.
Design and build distributed platforms and services for OCI AI workloads, balancing availability, latency, throughput, scalability, resource utilization, and cost.
Write and review critical production code, develop prototypes to resolve technical uncertainty, and lead resolution of complex engineering problems.
Establish shared platform capabilities and standards for identity, configuration, APIs, client libraries, interoperability, and lifecycle management.
Lead AI-driven engineering practices across design, implementation, testing, code review, debugging, documentation, and operational troubleshooting.
Build reusable AI-assisted tools and workflows, and measure their impact on delivery speed, software quality, developer effort, and operational effectiveness.
Validate AI-generated code and recommendations through engineering review, automated testing, and security checks, using approved tools and protecting sensitive information.
Define testing and release strategies covering functionality, performance, security, resilience, and compatibility; establish quality evaluations and regression checks for AI capabilities where applicable.
Own production readiness and service health through service-level objectives, observability, capacity planning, safe deployments, rollback strategies, and incident response.
Partner with customers, product teams, and engineering stakeholders to prioritize needs, resolve issues, and deliver durable improvements.
Lead architecture and code reviews, mentor engineers, and influence technical decisions and engineering standards across teams.
Evaluate emerging technologies through practical experimentation and adopt approaches that demonstrate measurable customer and engineering value.
Set group-wide guardrails for platform interoperability, security controls, and client-library governance.
Own cross-group programs, including identity, configuration, and API gateway standards, with measurable reliability and performance impact.
Establish shared observability frameworks and rollout policies adopted by multiple teams, and manage deprecation risk.
Lead project initiatives to design software solutions, identify and analyze requirements, and write foundational code for new projects or prototypes.
Improve execution of all phases of the software development lifecycle and coach engineers across teams or units.
Develop and guide new software features and enhancements following design specifications, ensure accessibility, and develop documents to clarify software.