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Open Source Performance Engineer - Kernel to Cloud

Canonical

City of Moncton

Remote

CAD 100,000 - 125,000

Full time

Today
Be an early applicant

Job summary

A leading technology firm is seeking Performance Engineers who excel in software performance and correctness. The role involves collaborating globally on performance measurement tools while enhancing efficiency across products. Ideal candidates will have a strong academic background and significant technical skills, particularly in C, C++, and Python, as well as experience with Linux environments. The position offers a distributed work environment and a personal learning budget.

Benefits

Personal learning budget of USD 2,000 per year
Annual compensation review
Maternity and paternity leave

Qualifications

  • Exceptional academic track record from both high school and university.
  • Demonstrable personal initiatives to measure and improve performance.
  • Leadership and commitment to skills development and mentorship.

Responsibilities

  • Drive software performance and correctness in a specific project.
  • Collaborate with colleagues and community around the globe.
  • Work on shared tools and infrastructure for performance measurement.
  • Teach, train and develop skills in your team for performance culture.
  • Analyze systems and code to understand performance.

Skills

Low-level CPU insights
Kernel performance insights
Distributed systems performance insights
Compiler level performance insights
Runtime performance insights
Database performance evaluation
Web browser performance insights
Performance measurement tooling
Benchmarks and performance measurement tools
Test harnesses capabilities

Education

Undergraduate degree in Computer Science, Mathematics or Physics
Job description
A leading technology firm is seeking Performance Engineers who excel in software performance and correctness. The role involves collaborating globally on performance measurement tools while enhancing efficiency across products. Ideal candidates will have a strong academic background and significant technical skills, particularly in C, C++, and Python, as well as experience with Linux environments. The position offers a distributed work environment and a personal learning budget.
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