About the Role In addition to an enjoyment of a collaborative, open and encouraging working environment, you will: Collaborate with Principal Engineers, Engineering Managers and Product Managers to influence architectural changes in the product based that provide real scalability, low latency, and high availability and resiliency.
Develop prototypes in various layers of workday stack which propose alternate solutions to existing performance issues.
Build tools to expedite, enhance and ease multiple aspects of performance analysis.
Play a pivotal role in debugging, analyzing, and quantifying complex production issues.
Participate in escalations to drive the technical conversations.
Characterize Performance, Scalability and Resiliency to stakeholders.
About You Basic Qualifications: (must have experience) 5+ years experience developing in Java.
5+ years experience using Linux / Unix.
3+ years experience in cloud related technologies (AWS / GCP / AZURE).
Experience in object-oriented programming.
Other Qualifications: (preferred, but not essential) Experience working with AI and/or Machine Learning.
Experience working with Chaos Engineering.
Experience with Data Science and Big Data technologies, Hadoop, Spark, Hive.
Experience with operations or scalability study of large-scale distributed systems.
Web Application Development, Application Servers Tomcat, Web Services development experience (SOAP or REST).
Experience with microservices architecture or Distributed Programming.
Experience in Observability stack such as ELK, Grafana, Splunk.
Experience with Automation and profiling tools such as SOAPUI, Postman, JMeter, LoadRunner, Gatling, JProfiler, JConsole, and system tools vmstat/top.
Experience with Performance, Load, Stress, and Scalability Evaluation.
SQL skills or equivalent experience.
Bachelors' or Masters' degree in Computer Science, Math, or related field or equivalent years of experience.
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