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AI Summary
Join a global engineering team optimizing an open-source database for real-time applications. Focus on scaling distributed systems, performance tuning, and community-driven development. Requires C++ expertise, database internals knowledge, and hands-on debugging experience.
Key Highlights
Optimize distributed database performance (query, caching, SIMD, joins).
Develop performance tests and debug production issues (on-call rotation).
Collaborate with open-source community via PRs, issue resolution, and support channels.
Key Responsibilities
Analyze and optimize database performance (query optimization, distributed execution, caching, SIMD).
Develop performance tests using real-world/synthetic datasets.
Investigate and resolve complex customer performance issues (on-call rotation).
Collaborate with engineering teams on feature impact assessment.
Engage with open-source community via issue resolution, PR reviews, and support.
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Technical Skills Required
Benefits & Perks
Flexible, globally distributed work environment
Healthcare contributions
USD $500 home office setup for remote employees
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Nice to Have
Experience with the underlying open-source database technology.
Security, privacy, and compliance experience.
TCP/IP/network programming knowledge.
Cloud infrastructure development (Kubernetes).
Public speaking at technical conferences.
Open-source contributions.
Job Description
Role overview:
Join a globally distributed core engineering team developing an open-source database for real-time applications and analytics. This role focuses on scaling distributed systems, improving database performance, and supporting the continued development of open-source and cloud offerings.
You will work across database internals, performance testing, production debugging, and community collaboration, partnering with engineers to maintain reliability as new features are introduced.
Your engineering responsibilities
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