Principal Full Stack Software Engineer - (hybrid, Raanana)

Red Hat is seeking a Full-Stack Software Engineer to join our team, responsible for validating third-party cloud AI models on Red Hat platforms. This role blends front-end development, back-end services, and cloud-native technologies to build end-to-end systems that ensure high-quality AI integrations for our customers.

You’ll design and deliver scalable microservices and intuitive web interfaces that help benchmark, validate, and publish AI models—playing a key role in how customers experience AI on Red Hat’s enterprise platforms.

What You Will Do

• Build and maintain full-stack applications that power model validation pipelines—from backend microservices to front-end dashboards.
• Develop clean, efficient APIs to automate model benchmarking, inference performance testing, and accuracy evaluation.
• Design user-friendly web interfaces that visualize model insights and validation results for both internal teams and external users.
• Contribute to CI/CD workflows for automated testing, deployment, and continuous integration of model validation tools.
• Work closely with platform engineers, DevOps specialists, and data scientists to ensure a seamless AI model lifecycle experience.
• Troubleshoot issues across the stack, improve performance, and ensure security and reliability across services.
• Actively participate in agile processes, sprint planning, and technical reviews, contributing to a collaborative, high-performing team culture.
• Share ideas that improve user experience, developer workflows, and validation system scalability.
  
  

What You Will Bring

• Proficiency in front-end frameworks (e.g., React, Vue, or Angular) and strong skills in HTML, CSS, and modern JavaScript/TypeScript
• Experience developing and maintaining backend microservices using Python, Go, Node.js, or similar languages
• Solid understanding of REST APIs, web architecture, and database design (SQL or NoSQL)
• Familiarity with CI/CD pipelines, GitOps workflows, and automated testing practices
• Comfort working across the stack, with an eagerness to contribute wherever needed
• Basic understanding of AI/ML workflows and MLOps (not required, but a plus)
• Strong debugging, troubleshooting, and communication skills
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
  
  

Nice To Have

• Experience with containerization and orchestration tools like Docker and Kubernetes
• Knowledge of data visualization libraries (e.g., D3.js, Chart.js, Plotly)
• Exposure to AI model inference frameworks or data pipelines
• Contributions to open source or a passion for collaborative development
  
  

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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