Senior Principal Software Engineer - Model Serving

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 Senior Principal Software Engineer with Kubernetes and MLOps (Machine Learning) 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.

As a core developer for the Model Server and Metrics team in Red Hat Openshift AI, you will have the opportunity to actively participate in one of our main components in AI space as well as the affiliated open-source communities, such as KServe, vLLM and LLM-D. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. 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.

What you will do:

Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI

Innovate in the MLOps domain by participating in upstream communities, such as LLM-D and KServe

Ensure non-functional requirements including security, resiliency, and maintainability are met

Write unit and integration tests and work with quality engineers to ensure product quality

Use CI/CD best practices to deliver solutions as productization efforts 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 to stakeholders and team members to ensure proper visibility of development efforts

Give thoughtful and prompt code reviews

Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities

Mentor and guide other engineers

Give thoughtful and prompt code reviews

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality

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 8 years of experience

Passion for writing and maintaining reliable code

Use of AI tools for code development, testing and deployment

Experience with monitoring and alerting tools such as Prometheus and Grafana

Excellent written and verbal communication skills; fluent English language skills

Strong experience in Kubernetes or OpenShift

Experience with source code management tools such as Git

Strong system understanding and troubleshooting capabilities

Autonomous work ethic, thriving in a dynamic, fast-paced environment

Familiarity with data science workflows and machine learning pipelines

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

Experienced in OpenShift based solutions

An existing contributor in one or more MLOps open-source projects such as KServe, LLM-D, and vLLM is a huge plus

Strong experience developing applications in Python, GoLang

#LI-JS1

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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.

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)
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