Senior Software Engineer - AI Experiment Tracking

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 Open Shift 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 Open Shift 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 Haters 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 Open Shift 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

• Minimum of 4 years of experience developing applications in Go or Python, or another programming language

• Strong experience with AI experiment tracking tools such as MLFlow, Weights and Biases, or ClearML

• Strong experience in Kubernetes, Open Shift, 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…