Senior Software Engineer

About the Job

The Red Hat Performance and Scale Organization is seeking a seasoned senior 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, to support the onboarding and management of AI workloads on OpenShift.

OpenShift serves as the foundation for OpenShift AI, the platform designed for model training, tuning, serving, inferencing, development, and MLOps in a hybrid cloud environment. As such, it plays a vital role in Red Hat's AI strategy and offerings. This role will focus on performance and scale testing of features and solutions geared towards emerging workloads like AI and Data/Analytics to ensure that Red Hat OpenShift can meet the demands of modern applications. The engineer will leverage their knowledge of systems, AI and hardware accelerator performance 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 address bottlenecks. Time will also be spent 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. This is a unique opportunity to work at the intersection of cutting-edge hardware and software!

The broader mission of the Performance and Scale organization is to establish performance and scale leadership across the Red Hat product and cloud services portfolio. The scope includes component-level, system, and solution analysis and targeted enhancements. The team collaborates with engineering, product management, product marketing, customer support, and Red Hat’s hardware and software ecosystem partners.

Growth Mindset Statement: 

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

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 features and solutions for running AI workloads, such as Kubernetes Dynamic Resource Allocation (DRA), autoscaling, and operators for detection, configuration, and management of AI accelerators.

• 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.

• 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.

What You Will Bring

• Master’s Degree in Computer Science or a related field with 3+ years of relevant experience, or a Bachelor’s Degree in Computer Science or a related field with 5+ years of relevant experience.

• Demonstrable experience, understanding, and passion for performance engineering.

• Working knowledge of Kubernetes or OpenShift.

• Strong programming, debugging, and