Responsibilities
- Architect, build, and optimize ultra-low-latency search infrastructure using Rust
- Profile and instrument services, continuously driving down response times at scale
- Develop and maintain distributed backend components powering real-time search and retrieval
- Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance
- Apply advanced concurrency, memory management, and network programming patterns for maximum throughput
- Monitor, debug, and tune production workloads to ensure reliability under demanding traffic
- Contribute to code reviews and mentor peers in high-efficiency Rust development
Requirements
- Deep expertise in Rust programming, especially for backend/search systems
- Experience profiling and tuning high-load, low-latency distributed services
- Strong understanding of systems design, Linux internals, and performance debugging
- Background in cloud infrastructure - preferably AWS - and container orchestration
- Track record of driving efficiency for search or data-intensive products
- Ability to thrive in fast-paced environments and own critical product code
- Passion for benchmarking, instrumentation, and continuous performance improvement