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 (Machine Learning Operations) 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. Youll join an ecosystem that fosters continuous learning career growth and professional development.
You will be contributing as a core developer for AI experiment tracking on OpenShift AI. You will work as part of an evolving development team to rapidly design secure build test and release new capabilities. This role is for an individual contributor who collaborates closely with other developers and cross-functional teams. You will have the opportunity to actively participate in both our downstream efforts as well as the upstream MLFlow project. 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.
At Red Hat our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. Red Hatters embrace change especially in our fast-moving technological landscape and have a strong growth mindset. Thats why we encourage our teams to proactively thoughtfully and ethically use AI to simplify their workflows cut complexity and boost efficiency. This empowers our associates to focus on higher-impact work creating smart more innovative solutions that solve our customers most pressing challenges.
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
Strong experience developing applications in Go or Python or another programming language
Strong experience with 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
While a Bachelors 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
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location experience applicable skills and training external market value and internal pay equity. Annual salary is one component of Red Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with Remote-US locations the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the worlds 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. Were 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.
Benefits
Comprehensive medical dental and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability paid family medical leave and paid military leave
Additional benefits including employee stock purchase plan family planning reimbursement tuition reimbursement transportation expense account employee assistance program and more!
Note: These benefits are only applicable to full time permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hats 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.
Required Experience:
Senior IC
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