Data Path Senior Software Engineer
VAST Data · Tel-Aviv, Tel-Aviv District, Israel
Software Development · 1,001-5,000 employees
About the role
Design and develop core components of a next-generation distributed storage platform handling petabytes of data. Collaborate with architects and researchers to optimize high-performance data infrastructure for AI and analytics workloads.
What they look for
Requirements
Requires a degree in Computer Science or Engineering and strong hands-on experience in C/C++ and Linux internals. Candidates must have a deep understanding of distributed systems, networking fundamentals, and high-performance backend services.
Full description
Shape the Future of AI Infrastructure with VAST Data
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," VAST Data is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless VASTronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
What You'll Do:
- Design and develop core components of a next-generation distributed storage platform.
- Build scalable and resilient distributed services handling petabytes of data across large clusters.
- Participate in architecture discussions around consistency, replication, fault tolerance, and system scalability.
- Investigate and resolve complex production issues spanning storage, networking, distributed services, and operating system layers.
- Collaborate closely with architects, researchers, and engineering teams to deliver high-performance data infrastructure powering AI, analytics, and enterprise workloads.
Requirements
Requirements
- Strong hands-on experience in C/C++ software development, including system design, implementation, debugging, performance optimization, and integration of large-scale production systems.
- B.Sc. or M.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent practical experience.
- Deep understanding of Linux internals, including processes, threads, memory management, synchronization primitives, I/O subsystems, and performance troubleshooting.
- Experience developing distributed systems with a focus on scalability, reliability, fault tolerance, concurrency, and high availability.
- Solid understanding of networking fundamentals, including TCP/IP, routing, transport protocols, distributed communication patterns, and OSI networking layers.
- Experience designing and implementing high-performance backend services operating in multi-node environments.
- Strong debugging and root-cause analysis skills across complex production environments.