Box
Software Engineer III , Caching
About this role
Box seeks a Software Engineer III to design and operate mission-critical caching infrastructure serving tens of millions of requests per second. You'll lead the migration to next-generation caching solutions while partnering with internal teams to solve scale, performance, and reliability challenges across the platform.
What you'll do
- Architect and develop next-generation caching solutions to replace existing Memcached and Redis fleets
- Design solutions for scale, performance, and resilience in a system handling tens of millions of requests per second
- Collaborate with client teams to understand traffic patterns and recommend caching strategies
- Maintain production-critical caching services and drive continuous reliability improvements
- Participate in technical design reviews and shape the team's architectural direction
- Participate in on-call rotation to respond to and triage production issues
What they're looking for
- Distributed systems design and architecture
- Algorithms and data structures
- Java or Scala (JVM-based languages)
- Caching platforms (Memcached, Redis)
- High-scale systems and performance optimization
- Production operations and incident response
- Code design principles
- System reliability and scalability
Benefits
- Impact 40+ million users through mission-critical infrastructure work
- Work on cutting-edge distributed systems challenges at massive scale
- Collaborate with engineering teams across the organization
- Minimum 3 days per week in-office at Redwood City headquarters
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Box
Box builds cloud-native infrastructure and content management platforms, operating large-scale backend services, Kubernetes-based systems, and edge networking solutions. The company is hiring senior engineers to design and operate mission-critical infrastructure systems, as well as solutions engineers to drive sales and technical implementations with SMB and mid-market customers.
- Website
- box.com
Likely interview questions
- Walk us through a time you designed or optimized a caching layer for high-throughput systems—what challenges did you face?
- How would you approach migrating a large production caching fleet (Memcached/Redis) with zero downtime while serving tens of millions of requests per second?