AI Experiment Tracking Senior Software Engineer

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. You’ll 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 - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's 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 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

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 Hat’s 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 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.

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 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.