
Hardware • Cloud Computing • SaaS
Tintri is a leading provider of data management solutions specifically designed for virtualized workloads. With a focus on simplifying IT operations, Tintri offers innovative cloud and on-premise storage platforms that optimize data management and enhance performance through automation and analytics. Their solutions are tailored for environments requiring efficient workload management, data protection, and visibility, making it easier for organizations to manage complex IT infrastructures effectively.
201 - 500 employees
Founded 2008
🔧 Hardware
☁️ SaaS
May 21

Hardware • Cloud Computing • SaaS
Tintri is a leading provider of data management solutions specifically designed for virtualized workloads. With a focus on simplifying IT operations, Tintri offers innovative cloud and on-premise storage platforms that optimize data management and enhance performance through automation and analytics. Their solutions are tailored for environments requiring efficient workload management, data protection, and visibility, making it easier for organizations to manage complex IT infrastructures effectively.
201 - 500 employees
Founded 2008
🔧 Hardware
☁️ SaaS
• Design, develop, and optimize the Infinia I/O path to achieve extreme performance, low latency, and high concurrency under real-world workloads. • Implement and refine erasure coding algorithms , data durability techniques, and storage efficiency strategies across large clusters. • Integrate and optimize SPDK (Storage Performance Development Kit) into the I/O layer to leverage direct hardware access and minimize kernel overhead. • Work on distributed locking mechanisms and concurrency models to ensure consistency, fault tolerance, and throughput at scale. • Analyze and improve I/O subsystems under stress — including memory usage, buffer management, caching strategies, and scheduling mechanisms. • Drive performance tuning, data path tracing, and throughput profiling across multi-node, multi-device environments. • Serve as a go-to expert on the IO Path team — leading deep technical discussions, code reviews, design validation, and issue triage.
• 10+ years of experience building large-scale systems software in C/C++. • Deep understanding of I/O path optimization, storage scheduling, memory management, and data layout strategies. • Proven experience implementing erasure coding , data redundancy, and recovery algorithms in a distributed context. • Hands-on experience integrating or optimizing with SPDK or similar user-space storage frameworks. • Strong knowledge of distributed concurrency , locking mechanisms, and fault-tolerant design principles. • Familiarity with performance profiling tools, memory allocators, and benchmarking methodologies. • Excellent debugging skills, with the ability to diagnose complex race conditions, performance regressions, and hardware/software interactions.
• No benefits listed
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