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What you will do
Work closely with management, product owners, developers, and quality engineers to understand product requirements and build suitable performance test plans to verify OpenShift’s performance and scalability limits
Develop sophisticated tests that perform user workload simulations through comprehensive end-to-end automation, leveraging custom built and state of the art open source tools and frameworks
Deep dive into performance issues with the intent of discovering their root cause on complex distributed systems
Design and develop monitoring and reporting tools to do performance and scale tests and analysis
Document your research and results clearly and concisely, and communicate findings both internally and externally
What you will bring
Master’s Degree in Computer Science or related field and 5+ years of experience in performance engineering or systems/software engineering or Bachelor’s Degree in Computer Science or related field and 5+years of experience in performance engineering or systems/software engineering
Demonstrable experience or understanding and passion for performance engineering
Excellent communication and interpersonal skills
Strong programming, debugging, and profiling skills
Hands-on experience with performance measurement, analysis, and optimization
Experience with distributed systems
Very strong Linux system administration and system engineering skills
Solid scripting skills, particularly with Bash, Python, or Ansible
Experience working with bare metal systems and public clouds like AWS, Azure, GCP or IBM Cloud
Experience analyzing and interpreting large volumes of test results and succinctly communicating findings through easy to understand graphs/charts
Experience with collaborative software development methodologies, tools and version control
Knowledge of statistical analysis and experimental design techniques
Ability to work with independence and to proactively seek collaboration
The following are considered a plus:
Experience with container technologies like podman or docker and familiarity with building container images
Working knowledge of Kubertes or OpenShift
Working knowledge with Container Native Virtualization or OpenShift Virtualization
Experience with system performance engineering and metrics collection tools like iostat, vmstat, sar, perf, and prometheus
Familiarity with monitoring and dashboarding tools like Prometheus and Grafana
Track record of contributing to open source projects
Presentation and public speaking skills at conferences and demonstrations
The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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