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Performance Engineer - Open Source

Posted 10 months agoViewed

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📍 Location: Almost any country

🔍 Industry: Open Source Software

🏢 Company: Canonical👥 1001-5000💰 $12,800,000 Crowdfunding almost 12 years agoInternet of ThingsOpen SourceCloud ComputingLinuxSoftware

🗣️ Languages: English

🪄 Skills: DockerPythonSQLData AnalysisEmbedded SystemsJavaJVMKubernetesAssemblerC++AlgorithmsData StructuresGoRustCI/CDLinuxTerraformMicroservicesAnsibleNodeJSScriptingDebugging

Requirements:
  • Exceptional academic track record from both high school and university
  • Undergraduate degree in Computer Science, Mathematics or Physics
  • Demonstrable personal initiatives to measure and improve performance, efficiency and correctness in code
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Leadership and commitment to skills development and mentorship
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside motivated colleagues
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Excellent interpersonal skills, curiosity, flexibility, and accountability
  • Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  • Thoughtfulness and self-motivation 
  • Result-oriented, with a personal drive to meet commitments 
  • Ability to travel internationally twice a year, for company events up to two weeks long
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, analysis and reporting
  • Teach, train and develop skills in your team for performance culture and design
  • Strengthen test capabilities, harnesses and pipelines
  • Analyze systems and code to understand performance and scalability
  • Solve problems directly or through influence, leadership and skills development
  • Review code and technical designs
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