Senior Software Development Engineer -Distributed KV Caching and Storage Systems
Listed on 2026-07-18
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Software Development
Software Engineer, DevOps, Cloud Engineer - Software
Senior Software Development Engineer
-Distributed KV Caching and Storage Systems
Location:
Seattle
Team:
Infrastructure
Employment Type:
Regular
Job Code:
A68101A
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Responsibilities- Design and develop core KV caching and storage systems, including distributed caching systems and Redis-compatible KV storage systems, with a focus on low latency, high throughput, and high availability.
- Build planet-scale reliability, leading or contributing to HA architecture, failure isolation, multi-AZ/multi-region disaster recovery, and large-scale stability engineering for always-on business workloads.
- Drive compute/storage efficiency improvements (CPU, memory, IO, network), including cache hierarchy designs (memory/SSD), read/write amplification reductions, and capacity planning for billion-level request traffic.
- Build a production-grade ecosystem, including automated orchestration operations (provisioning, scaling, placement, scheduling) and monitoring systems (tracing, profiling, incident response runbooks).
- Implement and evolve capabilities such as Bulkload, backup & restore, point-in-time recovery, tiered storage, and integration with upstream/downstream data systems to enrich data ecosystems.
- Research new hardware and new technologies, evaluate and land improvements using ZNS SSD, , RDMA/CXL, and "AI+DB" directions in production.
Minimum Qualifications
- BS or a higher degree in Computer Science or related fields, or equivalent practical experience.
- Proficiency in one or more programming languages (C, C++, Java, Go, Python, Rust) with strong coding skills in a Linux environment.
- Solid fundamentals in distributed systems, database/storage principles, networking, and multi-threaded programming; strong debugging and performance analysis skills (profiling, tracing, flame graphs, lock contention, tail latency).
- Hands-on experience building or operating large-scale distributed systems (high QPS, high concurrency, strict SLO/SLA), with proven ability to improve stability, performance, and cost.
- Clear and logical thinking, coupled with a product-oriented mindset, self-driven initiative, and strong project management skills.
- 3+ years in database internals/storage engine/cache system development, or equivalent large-scale infrastructure experience.
- Familiarity with or contributions to systems such as Redis, Tair, MemoryDB, RocksDB, pika, TiDB, etc.
- Strong knowledge of distributed consensus algorithms, with experience in database kernel development.
- Experience with Linux kernel-level performance tuning, networking stack optimization, or IO subsystem.
- Familiarity with RDMA, CXL, ZNS SSD, or modern storage hardware.
- Interest or experience in applying AI techniques to database systems (e.g., cost modeling, workload prediction, auto-tuning).
The base salary range for this position in the selected city is $202160 - $368220 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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