Performance Engineer
Workday
New Zealand, Auckland
5d ago

Job Description

Workday is built on the latest technologies through innovative engineering principles. Our mission is to support and scale the processing of billions of monthly transactions for our customers no matter what their size, from medium-sized businesses to Fortune 50 enterprises distributed all across the globe.

The Performance and Scalability group is looking for the best candidates to help drive performance analysis, optimization and scalability of Workday's leading enterprise cloud HCM, Analytics and Financial offerings.

The ideal candidate has a deep knowledge of performance engineering or has worked in development with a keen focus on performance.

The team have a wide remit, from debugging and recreating specific customer issues, to using the latest Big Data techniques in order to extract actionable data and model future capacity and scalability needs.

Workday Performance and Scalability Engineers are highly skilled engineers who debug, measure, analyze, and improve our software.

They are generalists with deep technical understanding of software, hardware, networking, and the Internet. They enjoy taking a holistic view of complex systems.

They are developers, analysts, engineers, testers and data scientists.

Required Experience :

  • Ability to clearly characterize system performance to stakeholders
  • Keen ability and passion for distilling large volumes of data, quickly analyze scalability, capacity and performance issues
  • Excellent Analyst with strong problem determination skills
  • JVM Profiling and Tuning experience
  • Application and architecture code profiling
  • Infrastructure and application performance tuning
  • Capacity estimating, data mining, modeling, or planning
  • UNIX or Linux experience
  • Excellent written, interpersonal and communications skills
  • Bachelors Degree (or higher) in Computer Science, or related technical field (Mathematical Science etc.)
  • Knowledge or Experience with the following a plus :

  • Experience with Data Science and Big Data technologies, Hadoop, Hive, Spark, ElasticSearch
  • OO design and Web / Java development experience
  • Knowledge of Monitoring solutions, Wavefront, ELK and OS tools
  • Experience with Virtualization Technologies
  • Public Cloud experience
  • SQL and mySQL skills or equivalent experience
  • Experience with Performance, Load, Stress, and Scalability Testing and relevant tooling
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