C++ Software Engineer - Data Platform

The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows.

Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication).

Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work.

Investigate and resolve production issues - from correctness bugs to performance regressions.

Participate in code review, system design, feature development, and productionization.

What You'll Bring:

Degree in Computer Science or a related field.

2+ years of professional software engineering experience.

Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O).

Proficiency in modern C++ (C++11 or higher); comfort with STL.

Solid working knowledge of UNIX/Linux development environments.

Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development.

A clear, proactive communicator who works well with a globally distributed team.

Nice to Have:

Python

Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats.

Experience with RPC frameworks.