Senior Performance and Scale Engineer, OpenShift AI Platform

Location: Remote CA ON

Remote Type: Remote

Time Type: Full time

Job Description

About the Job

Red Hat’s Performance and Scale Engineering team is looking for a highly motivated Senior Software Engineer to join the PSAP (Performance and Scale for AI Platforms) team. In this high-impact role, you will serve as a technical leader, driving the performance, scalability, and efficiency of Red Hat OpenShift AI (RHOAI).

RHOAI is a cornerstone of Red Hat’s AI portfolio, providing a robust platform for managing the full lifecycle of predictive and generative AI (GenAI) models at scale across the hybrid cloud. As a senior member of this team, you will ensure that RHOAI remains the industry’s premier choice for enterprise-grade AI by tuning components ranging from GenAI API servers to distributed training frameworks.

This is a dynamic role for a Senior Software Engineer with a growth mindset who handles and adapts to rapid change, has a strong commitment to open-source values, and the willingness to learn and apply new technologies. You will be joining a vibrant open source culture, and helping promote performance and innovation in this Red Hat engineering team. The broader mission of the Performance and Scale team is to establish performance and scale leadership of 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 and customer support as well as Red Hat’s hardware and software ecosystem partners.

What you’ll have

• Define and lead the performance and scalability strategy for RHOAI components, including but not limited to GenAI API servers, vector databases, MCP Gateways, and Model Registry.

• Design and maintain tools and automated frameworks to streamline performance data collection, and analysis.

• Identify bottlenecks in component performance and collaborate with core RHOAI engineering teams to drive performance improvements.

• Triage and resolve complex performance-related customer cases collaborating with the customer facing teams

• Collaborate with Product Management and Core Engineering to influence the product roadmap based on performance data and industry trends

• Provide technical guidance and mentorship to junior engineers. Champion a culture of performance-centric development within the broader PSAP team.

• Represent Red Hat in industry consortia and at global conferences. Author high-impact technical blogs and white papers to establish Red Hat’s thought leadership.

What you’ll bring

• Bachelor’s degree in Computer Science or related field 

• 5+ years of software engineering experience

• Experience in systems-level performance analysis, profiling, and tuning (CPU, Memory, I/O, and Network).

• Experience with Kubernetes or OpenShift (containers, pods, and orchestration).

• Strong Python proficiency in designing complex, maintainable automation software and data analysis pipelines.

• Experience working in a Linux environment with an understanding of system resources (CPU, Memory, I/O).

• Understanding of AI concepts (classical ML, Gen AI and agentic AI), and knowledge of AI lifecycle and MLops workflows

• Experience preparing and managing high quality datasets for accurate benchmarking of data-intensive systems

• Proven ability to communicate complex performance metrics into clear, actionable insights that bridge the gap between technical engineering and strategic business objectives for stakeholders at all levels. 

The following is considered a plus

• Master’s or PhD in Computer Science or a related quantitative field.

• 3+ years of relevant industry experience in performance engineering or distributed/operating systems.

• Advanced experience using AI-assisted coding and productivity tools to optimize team workflows and accelerate complex debugging.

• Experience with SQL and noSQL databases and their performance tuning

• Significant contributions to open-source projects, particularly in the Kubernetes, MLOps, or AI domains.

• Experience in applying statistical methods to massive datasets including trend forecasting and anomaly detection

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

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.

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