Job description
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 OpenShifts 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
- Improve existing frameworks for automated continuous performance testing and develop new features that help with automatic performance regression identification
- Deep dive into performance issues with the intent of discovering their root cause on complex distributed systems deployed on cloud infrastructure
- 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
Masters Degree in Computer Science or related field and 5+ years of experience in performance engineering or systems / software engineering or Bachelors Degree in Computer Science or related field and 7+years of experience in performance engineering or systems / software engineeringDemonstrable experience or understanding and passion for performance engineeringStrong programming, debugging, and profiling skillsExperience with CI / CD systems and frameworksHands-on experience with performance measurement, analysis, and optimizationExperience with distributed systemsVery strong Linux system administration and system engineering skillsSolid scripting skills, particularly with Bash, Python, or AnsibleExperience working with public clouds like AWS, Azure, GCP or IBM CloudKnowledge of database fundamentalsExperience analyzing and interpreting large volumes of test results and succinctly communicating findings through easy to understand graphs / chartsExperience with collaborative software development methodologies, tools and version controlKnowledge of statistical analysis and experimental design techniquesExcellent communication and interpersonal skillsAbility to work with independence and to proactively seek collaborationThe following are considered a plus :
Experience with container technologies like podman or docker and familiarity with building container imagesWorking knowledge of Kuberentes or OpenShiftExperience with system performance engineering and metrics collection tools like iostat, vmstat, sar, perf, and prometheusFamiliarity with monitoring and dashboarding tools like Prometheus and GrafanaRecord of contributing to an open source projectPresentation skills and public speaking skills for conferences and demonstrations.Skills Required
Pytorch, Agile, Scrum, Kubernetes