Principal Software Engineer, Dropbox

• 12+ years of engineering experience with a deep background in distributed systems, internal developer platforms, or DevProd infrastructure
• Deep understanding of monorepos, complex CI/CD setups, local development, multi-platform development, and developer journey mapping
• Demonstrated experience building large-scale platforms with high reliability, composability, and extensibility
• Passionate about AI, with hands-on experience (or deep exposure) to integrating LLMs, RAG systems, or intelligent assistants into engineering workflows
• Strong product sense and empathy for developer pain—capable of translating data and feedback into high-leverage solutions

Desirable

• Dropbox is seeking a Principal Engineer to define the long-term technical vision and execution strategy for Developer Productivity
• This role will serve as the architectural and strategic leader for building a modern, AI-augmented internal developer experience platform serving Dropbox engineers across our multi-product stack
• In this high-impact, cross-cutting role, you’ll shape how development flows from idea to production—streamlining workflows, reducing friction, and introducing agentic workflows that enable faster, higher-quality software delivery
• You’ll work across distributed systems, address the challenges of a complex monorepo, and introduce intelligent systems that empower developers through automation, guidance, and seamless tooling integration
• This is a career-defining opportunity to reimagine how software gets built at scale—and bring the promise of AI to everyday developer tasks
• Define the long-term architecture for Dropbox’s developer productivity platform, including a unified internal developer portal (“Dropbox Console”), default workflows, and intelligent agents
• Own platform-wide architectural patterns that streamline the entire SDLC: from local dev and CI to testing, debugging, and deployment
• Build abstractions and systems that scale across monorepo, multi-platform (desktop/web/mobile), and hybrid cloud/on-prem environments
• Lead the design and implementation of agentic workflows for core developer tasks—code reviews, test generation, flaky test triage, documentation, migrations, etc
• Design systems that embed safe and assistive AI directly into development surfaces and tools, enabling faster iteration while preserving quality and auditability
• Define best practices for integrating LLMs into engineering workflows, including supervision checkpoints, rollback strategies, and metrics
• Partner with infrastructure, product, and engineering teams to identify bottlenecks and define metrics that matter for business outcomes
• Drive migration from fragmented tools and tribal workflows to a unified platform that enables flow-state for developers
• Set and enforce standards for quality, safety, and reliability of automation and AI workflows
• Serve as a technical multiplier, mentoring teams across Dropbox and raising the bar on system design, platform thinking, and developer empathy
• Collaborate deeply with PMs, DX researchers, SREs, and leadership to align priorities and deliver developer delight
• Represent Dropbox in the external platform and AI productivity communities through talks, papers, and open-source contributions where appropriate