Senior Software Quality Engineer, AI Model Serving

Job Summary:

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI (RHOAI) team is looking for a Software Engineer with Kubernetes and MLOps (Machine Learning) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI.. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open-source communities, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. 

As a core quality engineer for Model Server and Metrics team in Red Hat Openshift AI, you will have the opportunity to actively participate in one of our main components in AI space as well as the affiliated open-source communities, such as KServe, Kubeflow, and vLLM. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other quality engineers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do

• Lead contributions to the architecture, design, and development of automated testing of new features and solutions for RHOAI, specifically over Model Serving capabilities

• Innovate in the MLOps domain by participating in upstream communities

• Ensure non-functional requirements including security, resiliency, and maintainability are met

• Write integration and usability tests and work with software engineers to ensure product quality

• Use CI/CD best practices to deliver high-quality solutions as productization efforts into RHOAI

• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

• Collaborate with product management, other engineering, and cross-functional teams to analyze and clarify business requirements

• Communicate effectively to stakeholders and team members to ensure proper visibility of quality efforts

• Give thoughtful and prompt code reviews

• Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities

• Mentor and guide other quality engineers

What you will bring

• Strong experience testing applications in Python, Go is a plus

• Strong experience in Kubernetes or Openshift

• Strong experience in CI/CD systems 

• Ability to quickly learn and guide others on using new tools and technologies

• Experience  with source code management tools such as Git

• Innovation skills and a passion for technology

• Strong system understanding and troubleshooting capabilities

• Autonomous work ethic, thriving in a dynamic, fast-paced environment.

• Excellent written and verbal communication skills

The following will be considered a plus:

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Experience in AI space

• Experience with MLOps, mainly over tests of the Models served by MLOps platforms

• Understanding of how Open Source and Free Software communities work

• Experience with development for public cloud services (AWS, GCE, Azure)