Principal Software Engineer, Developer Productivity

October 28

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Dropbox

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Cloud Storage • Enterprise • Productivity

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• 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.

🎯 Requirements

• 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.