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 engineering
- Demonstrable experience or understanding and passion for performance engineering
- Strong programming, debugging, and profiling skills
- Experience with CI/CD systems and frameworks
- 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 public clouds like AWS, Azure, GCP or IBM Cloud
- Knowledge of database fundamentals
- 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
- Excellent communication and interpersonal skills
- 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 Kuberentes or OpenShift
- 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
- Record of contributing to an open source project
- Presentation skills and public speaking skills for conferences and demonstrations.
