Senior Software Engineer
Red HatAbout the role
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 an experienced Full Stack Software Engineer with OOP Language Experience (One of: GoLang, Python, TypeScript), as well as MLOps (Machine Learning Ops, the next evolution following DevOps) experience to join our 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. You’ll get to 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 a community of RedHatters that fosters continuous learning, career growth, and professional development. Get the opportunity of a lifetime to explore & experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
As a core quality engineer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. 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 quality engineers 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.
What you will do:
Contribute to the architecture, design, development of automated testing for new features and solutions for RHOAI
Innovate in the MLOps domain by participating in upstream communities (Kubeflow, LLAMA-Stack, MCP, PyTorch, etc.)
Ensure non-functional requirements including security, resiliency, and maintainability are met
Work with your scrum team to help ensure quality, by writing integration, unit, and usability tests
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 quality efforts
Give thoughtful and prompt code reviews
What you will bring:
Full stack experience in the latest higher level programming languages, and testing frameworks (Cypress, Jest, Enzyme, React-Testing-Library, GoLang, Python)
Ability to quickly learn and use new tools and technologies
Experience with source code management tools such as Git
Good systems understanding, troubleshooting and root-cause analysis capabilities
Ability to work independently in a fast-paced, ever-changing environment
Experience with the latest in Agentic Coding and AI Accelerated development workflows (Cursor, Claude Code, Gemini, Roo Code, GitHub Copilot)
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 community's work
Excitement about the future of responsible Agentic AI software development
Use of MCP tools
Reading and writing agentic coding guardrails that help improve velocity balanced with quality
Experience with development for public cloud services (AWS, GCE, Azure)
Experience with enterprise design patterns (Backend for Frontend, Service Bus, Circuit Breakers)
Experience in Kubernetes, OpenShift or other cloud-native technologies
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