Dassault Systèmes
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Role & Responsibilities:
Join NuoDB, a leading innovator of a high-performance, distributed, multi-cloud capable distributed SQL database. As part of Dassault Systemes, our novel database powers the globally renowned 3DEXPERIENCE platform underpinning a suite of product design, process management, and collaborative tools running in the cloud
We are seeking a Senior Database Performance QA Architect to join our team in Waltham, MA. This is a high-impact, hands-on individual contributor role where your technical leadership and benchmarking efforts will help unlock the potential of NuoDB and allow Dassault Systemes meet their high growth ambitions.
- Lead the way on improving our understanding of NuoDB performance and use your experience and actionable technical insights to help steer development on a multi-year project with ambitious performance and scalability goals
- Own end-to-end database performance evaluation and work cross-functionally to identify targets and define KPIs
- Investigate system performance issues and deep dive with NuoDB development and application teams on root cause analysis
- Collaborate closely with engineering and product teams to design and develop test plans and benchmarks for new features
- Build automated performance testing and analysis tools for our CI/CD pipeline
- Evaluate NuoDB in comparison with competitor databases
- Define best practices for NuoDB performance tuning and share them with the vibrant NuoDB user community within 3DS
Qualifications:
- Bachelor’s or Master’s degree in Computer Science or equivalent
- Must have 10+ years of experience working as a Performance Engineer on a distributed product, ideally on another distributed database
- A sharp QA mindset, strong analytical skills, and the ability to break down complex problems into simpler components
- Strong experience with Linux and system/resource diagnostic tools such as perf
- Experience in SQL, OO Python programming, and shell scripting (i.e., Bash)
- Experience writing reliable performance benchmarks and workloads
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