Senior Infra Engineer: Scale Global Backend Systems

Dropbox

United States

Remote

USD 106,000 - 164,000

Full time

12 days ago

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Job summary

Dropbox is seeking an Infrastructure Engineer to shape scalable backend systems that support billions of files and massive data volumes. You will help drive the data fabric across applications and devices globally, ensuring interoperability and high performance.

Collaborate with cross-functional teams to optimize analytics, improve reliability and security, and advocate for long-term architectural improvements in a dynamic environment.

Qualifications

  • 9+ years of professional software development experience.
  • Proven track record building multi-threaded, geographically dispersed backend systems.
  • Proficient in Python, Go, C/C++, or Java.
  • BS/MS/PhD in CS or related field, or equivalent technical experience.

Responsibilities

  • Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and millions of concurrent connections.
  • Lead the expansion of Dropbox's data fabric, connecting hundreds of millions of applications, devices, and services globally.
  • Measure and optimize Dropbox's analytics platform for large data volumes and insights.
  • Collaborate with cross-functional teams to improve performance, reliability, and security of Dropbox's infrastructure.
  • Identify opportunities and drive improvements in current projects across teams or products.
  • Navigate ambiguity and drive strategic project outcomes.
  • On-call work may be required to address bugs or outages.

Skills

Python
Go
C/C++
Java

Education

CS degree or higher

Tools

Operating systems
Filesystems
Databases

Job description

Dropbox is seeking an Infrastructure Engineer to shape scalable backend systems that support billions of files and massive data volumes. You will help drive the data fabric across applications and devices globally, ensuring interoperability and high performance.

Collaborate with cross-functional teams to optimize analytics, improve reliability and security, and advocate for long-term architectural improvements in a dynamic environment.

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