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.
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