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: 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.
This position is open to all candidates.