About the job The Red Hat Performance and Scale Team is looking for an experienced senior level engineer to join our passionate global team to test, measure, analyze software performance and improve performance and scale of Red Hat OpenShift, the industry leading enterprise Kubernetes platform to help user workloads do more. This role will focus on the scalability of Red Hat Openshift in our Managed Services (SaaS) offerings across AWS, Azure, GCP and other cloud providers. The Engineer will leverage their knowledge of systems performance in the cloud to theorize bottlenecks and limitations, devise test plans, execute workloads, collect and analyze data, and communicate findings. This role will require the ability to work cross-functionally with Product Management, Engineering Leadership, Development Teams and Quality Engineers to measure performance, clearly articulate findings and fix bottlenecks. Time will also be spent in collaboration with software engineering teams on bug fixes, code optimization and reduction of resource usage, and in developing open source tools for reliability and repeatability of tests. Our team is global and diverse, and as such the location for this role is flexible. The Engineer may be located in one of our many global offices or may work permanently remotely. 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
