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What will you do:
Work on the performance and scale planning, testing and results communicating of more microservices
Learning and documenting about how microservices in question work, what resources they are using and what are the potential bottlenecks
Collaborate with development, quality engineers and product management to identify and resolve critical performance issues of our offerings and help guide solutions
Develop and run complex performance tests to work with OpenShift, AWS EC2, debug test issues
Perform statistical analysis
Regularly provide updates to development, quality engineers and product management teams
Use tools for metrics, monitoring and results from analysis using Grafana, Prometheus, Elasticsearch and Kibana
Help triage, debug and solve customer cases related to performance and scale if needed
Document your findings, educate the team and publicize the work the team is doing via blogs, web postings, or conference talks
What will you bring:
Passion for optimizing system performance; background in software performance and scale engineering
Experience with open source software, Linux, containers, Red Hat OpenShift or Kubernetes
Scripting experience, particularly with Bash, Python or Ansible
Experience with system monitoring and troubleshooting
Good knowledge of operating system internals and distributed systems
Practical knowledge of Apache Kafka and REST APIs
Experience with Jenkins, groovy and Git
Ability to convert raw data into meaningful graphs, draw conclusions, and present results to audiences with recommendations for improvement
Flexibility to work with a geographically distributed remote working team
Eagerness to share knowledge and improve the skills of others around you
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