Hud
Singapore
Senior Research Infrastructure Engineer (AI/ML Systems)
- AI
- Cloud
- Docker
- Linux
C
AI Summary
Build and optimize ClickHouse Cloud’s cloud-native OLAP platform by benchmarking system performance, debugging distributed databases, and developing tools for performance analysis and chaos engineering. Requires 6+ years in distributed systems, Go/C++/Java, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Key Highlights
6+ years in distributed systems, database benchmarking, and performance engineering
Deep expertise in Go/C++/Java, concurrency, and Kubernetes
Cloud-native troubleshooting, chaos engineering, and system resilience
Key Responsibilities
Benchmark and optimize system/database performance for ClickHouse Cloud
Troubleshoot and debug distributed system errors and logs
Develop and manage tools for chaos engineering and performance analysis
Collaborate with core development, cloud, and security teams to enhance system performance
Plan and execute chaos initiatives to improve system resilience
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Technical Skills Required
Benefits & Perks
Flexible work environment (remote-friendly)
Healthcare contributions
Equity in the company
Global gatherings and in-person events
USD $500 home office setup for remote employees
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Nice to Have
Experience with ClickHouse or OLAP databases
Chaos Engineering expertise
Leadership in large-scale technical projects
Job Description
About The Team
The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems.
The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management.
What will you do?
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