Principal Software Engineer, Core Sharing & Collaboration
New
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DropboxSoftware Engineering
Remote - US: All locationsFull-TimePrincipal
Salary227,800 - 385,200 USD per year
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Job Details
- Experience
- 15+ years
- Required Skills
- Backend DevelopmentFrontend DevelopmentMachine LearningSoftware ArchitectureLLMDistributed Systems
Requirements
- Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience.
- 15+ years of experience designing, building, and evolving large scale software systems with sustained impact.
- Demonstrated success operating at a Principal level, owning company critical technical problems.
- Strong experience building consumer facing products at scale.
- Deep understanding of user experience, performance, reliability, and operational excellence.
- Broad and deep technical expertise across frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.
- Practical experience applying modern ML, LLM based APIs, and agentic frameworks in production systems.
- Ability to communicate complex technical concepts clearly and persuasively to senior leadership.
Responsibilities
- Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale.
- Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.
- Tackle the most ambiguous and far reaching technical and product problems, shaping what the company builds as much as how it builds it.
- Remain deeply hands on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.
- Influence and align roadmaps across organizations, resolving structural bottlenecks and changing how Dropbox builds and operates.
- Architect and evolve foundational systems and platforms that enable new product capabilities.
- Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.
- Drive AI adoption both to increase productivity and to produce AI based features.
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