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Senior Software Quality Engineer, AI Model Serving

Red Hat

São Paulo

Presencial

BRL 70.000 - 110.000

Tempo integral

Há 30+ dias

Melhora as tuas possibilidades de ir a entrevistas

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Resumo da oferta

Join a forward-thinking company at the forefront of AI evolution! As a Senior Software Quality Engineer, you'll be part of a dynamic team driving innovation in hybrid cloud MLOps platforms. You'll work on exciting projects, contribute to open-source communities, and ensure high-quality solutions are delivered. This role offers a unique opportunity to impact the future of AI while fostering continuous learning and professional growth. If you're passionate about technology and open-source, this is the perfect chance to make a difference in a collaborative environment.

Qualificações

  • Experience testing applications in Python; Go experience is a plus.
  • Strong knowledge of Kubernetes or OpenShift.
  • Experience with CI/CD systems.

Responsabilidades

  • Lead contributions to architecture, design, and automation testing.
  • Develop integration and usability tests, collaborating with software engineers.
  • Mentor and guide other quality engineers.

Conhecimentos

Python
Kubernetes
CI/CD
Go
Git
Troubleshooting
Communication

Formação académica

Practical experience in computer science

Ferramentas

OpenShift
AWS
GCE
Azure

Descrição da oferta de emprego

Senior Software Quality Engineer, AI Model Serving

Join to apply for the Senior Software Quality Engineer, AI Model Serving role at Red Hat

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 experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community to help enterprise customers solve problems and accelerate business success using AI. This is an exciting opportunity to build and impact next-generation hybrid cloud MLOps platforms, contribute to the RHOAI product, participate in open-source communities, and be at the forefront of AI evolution. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a quality engineer for the Model Server and Metrics team in Red Hat OpenShift AI, you will actively participate in key AI components and open-source communities such as KServe, Kubeflow, and vLLM. You will work as part of an evolving team to design, develop, test, and release new capabilities. The role is primarily an individual contributor working closely with other engineers and cross-functional teams. A passion for open-source communities and developing integrated solutions with Red Hat, open-source, and partner technologies is essential.

What You Will Do
  • Lead contributions to architecture, design, and automation testing of new features for RHOAI, especially Model Serving capabilities
  • Participate in upstream MLOps communities to innovate in the domain
  • Ensure security, resiliency, and maintainability requirements are met
  • Develop integration and usability tests, collaborating with software engineers to ensure quality
  • Apply CI/CD best practices to deliver high-quality solutions into RHOAI
  • Share technical knowledge and promote continuous improvement within the team
  • Work with product management and cross-functional teams to clarify business needs
  • Communicate effectively with stakeholders and team members about quality efforts
  • Conduct code reviews thoughtfully and promptly
  • Represent RHOAI at industry events, customer meetings, and open-source forums
  • Mentor and guide other quality engineers
What You Will Bring
  • Experience testing applications in Python; Go experience is a plus
  • Strong knowledge of Kubernetes or OpenShift
  • Experience with CI/CD systems
  • Ability to quickly learn and guide others on new tools and technologies
  • Proficiency with source code management tools like Git
  • Passion for technology and innovation
  • Strong troubleshooting and system understanding skills
  • Autonomous work ethic, thriving in fast-paced environments
  • Excellent communication skills
Preferred Qualifications
  • Practical experience over formal education in computer science or related fields
  • Experience in AI and MLOps, especially testing models served by MLOps platforms
  • Understanding of open-source communities
  • Experience with cloud services (AWS, GCE, Azure)
About Red Hat

Red Hat is a leading provider of enterprise open source software, delivering high-performing Linux, cloud, container, and Kubernetes technologies worldwide. We promote a flexible, inclusive work environment and value innovative ideas from all team members.

Inclusion and Equal Opportunity

We are committed to diversity and inclusion, providing equal opportunity employment without regard to race, gender, or background. We support applicants with disabilities and provide accommodations as needed.

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