Senior engineer building and operating Dropbox's exabyte-scale distributed storage systems. Focus on replication, erasure coding, performance, and reliability in Go/Rust.
180k – 274k
Remote9+ YOEDevOps / SRE
About the role
Responsibilities
Design, implement, and maintain large-scale distributed storage systems that ensure data durability, availability, and performance.
Collaborate with peers to evolve the architecture of Dropbox’s core storage infrastructure for improved scalability and efficiency.
Contribute to the design of replication, erasure coding, and system lifecycle management systems that balance cost, reliability, and performance.
Write high-quality, performant, and maintainable code in Go and Rust.
Participate in the on-call rotation, gaining firsthand experience operating Dropbox’s production storage systems.
Investigate and resolve complex production issues, performing root cause analysis and driving continuous reliability improvements.
Partner with cross-functional teams (Networking, Hardware, Capacity Planning) to deliver end-to-end reliable and cost-efficient storage solutions.
Take ownership of scoped projects and demonstrate growth toward leading larger, cross-team technical initiatives.
Requirements
9+ years of strong understanding of distributed systems principles, including replication, consistency, and fault tolerance.
Experience developing and debugging production services in C++, Go, or Rust.
Familiarity with distributed storage systems, file systems, or data infrastructure at scale.
Demonstrated ability to write efficient, reliable, and maintainable code in mission-critical environments.
Experience troubleshooting complex systems and participating in on-call or operational rotations.
Solid communication and collaboration skills, with the ability to work across infrastructure and product teams.
Eagerness to learn, grow, and contribute to multi-year infrastructure evolution initiatives.
Preferred Qualifications
Experience building and operating large-scale object storage or distributed storage systems (e.g. S3, Ceph, GFS/Colossus).
Deep interest in systems performance, profiling, and low-level optimization.
Familiarity with replication protocols, erasure coding, and data placement algorithms.
Experience with production monitoring, observability, and incident response workflows.
Contributions to infrastructure projects, open-source systems, or developer tooling that improved reliability and performance.
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