Software Engineer
Red Hat, Inc., Raleigh, NC, United States
About the Job
The Red Hat Performance and Scale Organization is seeking a software engineer to join our OpenShift Platform Performance and Scale Team. This role involves testing, measuring, and analyzing the performance and scalability of Red Hat OpenShift, the leading application modernization platform built on Kubernetes, and supports the evolution of Red Hat OpenShift’s managed and layered offerings to serve a wide variety of customer use cases.
Red Hat OpenShift’s managed and layered offerings represent some of the most complex, customer‑facing surfaces of the OpenShift ecosystem, spanning managed OpenShift services like ROSA, ARO, and OSD; layered products such as enterprise container registry and image management through Quay or AI‑assisted development via OpenShift Lightspeed; multi‑cluster and hybrid cloud management through ACM; and the full Red Hat OpenShift AI platform, among others. Ensuring these products perform reliably at scale is critical to customer trust and Red Hat's ability to compete in an increasingly demanding market. This role will focus on performance and scalability testing across this portfolio, validating that each product meets the real‑world demands of enterprise customers from initial deployment through production scale.
The engineer will leverage their knowledge of distributed systems, cloud infrastructure, and layered platform architectures to theorize bottlenecks and limitations, devise test plans, execute workloads, collect and analyze data, and communicate findings. Work will also involve collaborating with software engineering teams on bug fixes, code optimization, and resource usage reduction, as well as developing open‑source tools for the reliability and repeatability of tests.
What You Will Do
Work closely with management, product owners, developers, and quality engineers to understand product requirements and build suitable test plans to verify the performance and scale of OpenShift Managed Services, Layered Products, AI Platforms, etc.
Develop sophisticated tests that simulate user workloads 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 causes in complex distributed systems.
Design and develop monitoring and reporting tools for performance and scale tests and analysis.
Document your research and results clearly and concisely, and communicate findings both internally and externally.
Engage in upstream communities to help test performance and scale early and influence design and development decisions.
Triage, debug, and root cause customer issues related to OpenShift performance and scale.
Present your work and findings at internal and external conferences.
What You Will Bring
Master’s Degree in Computer Science or a related field with 1+ years of relevant experience, or a Bachelor’s Degree in Computer Science or a related field with 3+ years of relevant experience.
Demonstrable experience, understanding, and passion for performance engineering.
Working knowledge of Kubernetes or OpenShift.
Strong programming, debugging, and profiling skills in Python and/or Golang.
Hands‑on experience with performance measurement, analysis, and optimization.
Experience with distributed systems.
Strong Linux system administration and system engineering skills.
Solid scripting skills, particularly with Bash, Python, or Ansible.
Experience working with public clouds such as AWS, Azure, GCP, or IBM Cloud, as well as bare‑metal environments.
Experience analyzing and interpreting large volumes of test results and succinctly communicating findings through easy‑to‑understand graphs or 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 independently and proactively seek collaboration.
Collaborate with cross‑functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use.
Proactively utilize and experiment with AI‑assisted tools and technologies, such as code generation, auto‑completion, and intelligent suggestions, to accelerate development cycles, enhance code quality, and support test design, automation, and peer review throughout the development lifecycle.
The Following Are Considered a Plus
Experience with container technologies like Podman or Docker, and familiarity with building container images.
Experience with system performance engineering and metrics collection tools such as iostat, vmstat, sar, perf, pprof, etc.
Experience with monitoring and dashboarding tools like Prometheus and Grafana.
Networking experience or certifications.
A demonstrated history of contributing to open‑source projects.
Presentation skills and public speaking abilities for conferences and demonstrations.
A passion for investigating and troubleshooting system issues and a desire for continuous learning and improvement.
Benefits
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
Additional benefits such as employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note:
These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Pay Transparency
The salary range for this position is $96,440.00 - $154,190.00. Actual offer will be based on your qualifications.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Disability and Accessibility
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants.
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The Red Hat Performance and Scale Organization is seeking a software engineer to join our OpenShift Platform Performance and Scale Team. This role involves testing, measuring, and analyzing the performance and scalability of Red Hat OpenShift, the leading application modernization platform built on Kubernetes, and supports the evolution of Red Hat OpenShift’s managed and layered offerings to serve a wide variety of customer use cases.
Red Hat OpenShift’s managed and layered offerings represent some of the most complex, customer‑facing surfaces of the OpenShift ecosystem, spanning managed OpenShift services like ROSA, ARO, and OSD; layered products such as enterprise container registry and image management through Quay or AI‑assisted development via OpenShift Lightspeed; multi‑cluster and hybrid cloud management through ACM; and the full Red Hat OpenShift AI platform, among others. Ensuring these products perform reliably at scale is critical to customer trust and Red Hat's ability to compete in an increasingly demanding market. This role will focus on performance and scalability testing across this portfolio, validating that each product meets the real‑world demands of enterprise customers from initial deployment through production scale.
The engineer will leverage their knowledge of distributed systems, cloud infrastructure, and layered platform architectures to theorize bottlenecks and limitations, devise test plans, execute workloads, collect and analyze data, and communicate findings. Work will also involve collaborating with software engineering teams on bug fixes, code optimization, and resource usage reduction, as well as developing open‑source tools for the reliability and repeatability of tests.
What You Will Do
Work closely with management, product owners, developers, and quality engineers to understand product requirements and build suitable test plans to verify the performance and scale of OpenShift Managed Services, Layered Products, AI Platforms, etc.
Develop sophisticated tests that simulate user workloads 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 causes in complex distributed systems.
Design and develop monitoring and reporting tools for performance and scale tests and analysis.
Document your research and results clearly and concisely, and communicate findings both internally and externally.
Engage in upstream communities to help test performance and scale early and influence design and development decisions.
Triage, debug, and root cause customer issues related to OpenShift performance and scale.
Present your work and findings at internal and external conferences.
What You Will Bring
Master’s Degree in Computer Science or a related field with 1+ years of relevant experience, or a Bachelor’s Degree in Computer Science or a related field with 3+ years of relevant experience.
Demonstrable experience, understanding, and passion for performance engineering.
Working knowledge of Kubernetes or OpenShift.
Strong programming, debugging, and profiling skills in Python and/or Golang.
Hands‑on experience with performance measurement, analysis, and optimization.
Experience with distributed systems.
Strong Linux system administration and system engineering skills.
Solid scripting skills, particularly with Bash, Python, or Ansible.
Experience working with public clouds such as AWS, Azure, GCP, or IBM Cloud, as well as bare‑metal environments.
Experience analyzing and interpreting large volumes of test results and succinctly communicating findings through easy‑to‑understand graphs or 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 independently and proactively seek collaboration.
Collaborate with cross‑functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use.
Proactively utilize and experiment with AI‑assisted tools and technologies, such as code generation, auto‑completion, and intelligent suggestions, to accelerate development cycles, enhance code quality, and support test design, automation, and peer review throughout the development lifecycle.
The Following Are Considered a Plus
Experience with container technologies like Podman or Docker, and familiarity with building container images.
Experience with system performance engineering and metrics collection tools such as iostat, vmstat, sar, perf, pprof, etc.
Experience with monitoring and dashboarding tools like Prometheus and Grafana.
Networking experience or certifications.
A demonstrated history of contributing to open‑source projects.
Presentation skills and public speaking abilities for conferences and demonstrations.
A passion for investigating and troubleshooting system issues and a desire for continuous learning and improvement.
Benefits
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
Additional benefits such as employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note:
These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Pay Transparency
The salary range for this position is $96,440.00 - $154,190.00. Actual offer will be based on your qualifications.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Disability and Accessibility
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants.
#J-18808-Ljbffr