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 Senior Software Engineer with Kubernetes and MLOps experience to join our rapidly growing engineering team. Your focus will be to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This role offers an 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 evolution of AI. You will join an ecosystem that fosters continuous learning, career growth, and professional development.
What You Will Do
Contribute to the architecture, design, development, and testing of new features and solutions for MLFlow on Red Hat OpenShift AI.
Innovate in the MLOps domain by participating in upstream communities, particularly Kubeflow and MLFlow.
Ensure non‑functional requirements including security, resiliency, performance, and maintainability are met.
Lead by example in writing and maintaining comprehensive unit, integration, and end‑to‑end tests, and help teammates adopt strong testing and CI/CD practices.
Use CI/CD best practices to deliver solutions efficiently 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 with stakeholders and team members to ensure proper visibility of development efforts.
Give thoughtful and prompt code reviews that uphold quality and maintainability standards.
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities.
Mentor and guide other engineers, including coaching them on quality ownership, testing strategies, and development best practices.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
What You Will Bring
Minimum of 4 years of experience developing applications in Go, Python, or another programming language.
Strong experience with AI experiment tracking tools such as MLFlow, Weights and Biases, or ClearML.
Strong experience in Kubernetes, OpenShift, or other cloud‑native technologies.
Proven ability to design and implement robust automated testing strategies, and to guide others in adopting strong testing, CI/CD, and quality practices.
Ability to quickly learn and guide others on using new tools and technologies, including AI‑assisted development tools.
Experience with source code management tools such as Git.
Innovation skills and a passion for technology, with the ability to introduce new ideas and improvements to the team.
Strong system understanding and troubleshooting capabilities.
Familiarity with data science workflows and machine learning pipelines.
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.
Understanding of how Open Source and Free Software communities work.
Experience with development for public cloud services (AWS, GCE, Azure).
Experience working with or deploying MLOps platforms.
UI experience.
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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