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Tech Stack
Tools & technologiesGoJavaPython
About the role
Key responsibilities & impact- Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections.
- Assist in expanding Dropbox's role as the data-fabric, linking hundreds of millions of applications, devices, and services worldwide
- Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes.
- Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure.
Requirements
What you’ll need- BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- 2+ years of professional software development experience
- Demonstrated experience in building and managing large-scale, multi-threaded, and geographically distributed backend systems
- Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java
- Experience working with operating system internals, filesystems, databases, networks, and compilers
- Ability to independently execute tasks at hand.
Benefits
Comp & perks- Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels.
- Check out our blog post on this topic and more here.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGoCC++Javalarge-scale systemsmulti-threaded systemsbackend systemsoperating system internalsfilesystems
Soft Skills
collaborationinnovationperformance optimizationreliability enhancementsecurity enhancementindependent execution
Certifications
BS in Computer ScienceMS in Computer SciencePhD in Computer Science
