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infra sweRole Description 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.
Responsibilities - 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.
Preferred Qualifications
- Experience leading or contributing to AI developer tooling, or developer experience
- Proven success operating as a principal+ level engineer across large orgs
- 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.
Preferred Qualifications
- Experience leading or contributing to AI developer tooling, or developer experience
- Proven success operating as a principal+ level engineer across large orgs
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