Senior Database Performance QA Architect

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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