Senior Software Development Engineer - AI-Native Caching and Memory Systems Technology - Infras

Senior Software Development Engineer - AI-Native Caching and Memory Systems

Location:

San Jose

Team:

Infrastructure

Employment Type:

Regular

Job Code:

A65723

• Design and develop next-generation Redis Family core systems, including distributed KV caching, persistent memory storage, LLM KV cache infrastructure, and AI‑aware memory services.
• 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.
• Architect and optimize multi‑tier memory systems (in‑memory / SSD / shared storage), reducing read/write amplification and improving tail latency under extreme concurrency.
• 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.

Preferred Qualifications:

• 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, Memory
  
  DB, Rocks
  
  DB, 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).
• Experience building or optimizing LLM inference KV cache, memory reuse strategies, or distributed attention state management.
• Familiarity with mem0‑style memory abstraction, RAG memory systems, or session/branch‑based contextual storage.

The base salary range for this position in the selected city is $136800 - $359720 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.

Qualified applicants with arrest or conviction records will be considered…