Lead Principal Platform Software Engineer

Oracle is a leading company in AI and cloud solutions, dedicated to empowering innovation and community engagement. As a Lead Principal Platform Software Engineer, you will architect and evolve core platform capabilities for AI-assisted application development while providing technical leadership and mentoring to engineers. This role requires a deep understanding of platform engineering and the ability to drive technical strategy across various teams.

Responsibilities:

• Architect and evolve core platform capabilities for AI-assisted application development
• Design scalable, secure, and reliable services, APIs, SDKs, and integration patterns for GIU partner teams
• Lead technical strategy for AI harness capabilities, including LLM integration, prompt orchestration, evaluation workflows, agentic development patterns, and reusable AI components
• Define platform standards for observability, reliability, security, testing, performance, and operational readiness
• Partner with GIU engineering teams to understand adoption needs and translate them into reusable platform features
• Provide technical leadership across architecture reviews, design proposals, implementation planning, and cross-team engineering decisions
• Mentor engineers on platform design, distributed systems, AI application patterns, and high-quality software delivery
• Collaborate with product and engineering leadership to shape our roadmap and prioritize high-impact platform investments
• Evaluate emerging AI technologies, developer tooling, and cloud-native patterns for practical use within our core platform
• Drive engineering excellence through clear technical documentation, maintainable designs, automated validation, and strong CI/CD practices

Requirements:

• 6 to 10+ years of experience in platform engineering
• Deep platform engineering expertise
• Strong architectural judgment
• Practical experience applying AI and LLM technologies in production-oriented environments
• Ability to lead through technical influence
• Mentoring experience for senior engineers
• Defining scalable implementation patterns
• Establishing standards for AI-enabled applications
• Hands-on engineering depth with broad systems thinking
• Understanding of how to build platforms that other engineers love to use
• Ability to operate effectively in ambiguous, fast-moving technical domains
• Deep technical knowledge of frontend technologies: JavaScript, TypeScript, nodejs
• Ability to architect and evolve core platform capabilities for AI-assisted application development
• Designing scalable, secure, and reliable services, APIs, SDKs, and integration patterns
• Leading technical strategy for AI harness capabilities
• Defining platform standards for observability, reliability, security, testing, performance, and operational readiness
• Partnering with engineering teams to understand adoption needs
• Providing technical leadership across architecture reviews, design proposals, implementation planning, and cross-team engineering decisions
• Mentoring engineers on platform design, distributed systems, AI application patterns, and high-quality software delivery
• Collaborating with product and engineering leadership to shape the roadmap and prioritize high-impact platform investments
• Evaluating emerging AI technologies, developer tooling, and cloud-native patterns for practical use
• Driving engineering excellence through clear technical documentation, maintainable designs, automated validation, and strong CI/CD practices