Principal Member of Technical Staff (PMTS)

• Drive technical vision and architecture for AI-powered backend systems and public cloud platforms
• Lead High-Level Designs and Design Review Board navigation for enterprise scale and security compliance
• Design and operate resilient distributed systems across thousands of compute nodes and multiple data centers
• Deliver cloud infrastructure automation tools and frameworks across AWS, GCP, Azure, and Alibaba
• Architect high-performance REST APIs, batch inference APIs, and NER libraries with backward compatibility
• Drive cross-functional feature delivery, performance engineering, and system reliability
• Set code quality standards, implement testing practices, and mentor engineers
• Collaborate with Product, Security, and Compliance teams on regulatory and privacy requirements

Description We are seeking a Principal Member of Technical Staff (PMTS) to lead architecture, drive AI-powered backend systems, and scale our public cloud platform for tens of millions of users. Operating at the intersection of security, data, and massive scale, our Public Cloud engineering teams ship hundreds of resilient, high-performance features daily while maintaining strict customer trust and backwards compatibility. As a technical leader, you will own complex, end-to-end distributed systems, solve real-world data management challenges, and act as a force multiplier and mentor across cross-functional teams. Key Responsibilities Drive the technical vision, architecture, and roadmap for AI-powered backend systems and public cloud platforms. Lead High-Level Designs (HLDs) and navigate the Design Review Board (DRB) for enterprise scale and security compliance. Design, build, and operate resilient distributed systems running across thousands of compute nodes and multiple data centers. Deliver cloud infrastructure automation tools, frameworks, and validation platforms across major public clouds (AWS, GCP, Azure, Alibaba). Architect robust, high-performance REST APIs, batch inference APIs, and NER libraries with strict backward compatibility. Drive cross-functional feature delivery, performance engineering, real-time monitoring, and system reliability. Set standards for code quality and testing while mentoring engineers and retiring technical debt. Collaborate with Product, Security, and Legal/Compliance to translate regulatory and privacy requirements into technical solutions. Required Skills & Qualifications 15+ years of experience building highly scalable SaaS applications and enterprise platforms. Strong proficiency in Java (or equivalent) with a track record of delivering production-grade distributed systems. Deep experience with concurrency, high-performance microservices, and REST APIs at significant scale. Expertise in architecting complex distributed systems, including multi-threaded pipelines, asynchronous task management, and fault-tolerant job orchestration. Familiarity with Large Language Models (LLMs), vector databases, and applied generative AI (e.g., OpenAI, LangChain, LlamaIndex, RAG pipelines). Hands-on experience leveraging modern AI-powered development tools and coding assistants (such as Claude Code, Cursor, GitHub Copilot, etc.) to accelerate engineering workflows and productivity. Hands-on experience developing SaaS applications and automation on public cloud infrastructure (AWS, Azure, GCP, Alibaba). Proficiency in container orchestration tools like Kubernetes, EKS, and Docker. Excellent problem-solving and communication skills to articulate technical trade-offs to all stakeholders. A growth mindset with a strong mentorship instinct to elevate surrounding engineers. Strong knowledge of Agile methodologies, TDD, CI/CD pipelines, and engineering best practices. Preferred Skills Experience with HTML5, CSS3, JavaScript. Knowledge of front-end frameworks such as Angular, React, or Vue.js. Familiarity with UI/UX best practices.

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