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Red hat Principal Software Engineer- Openshift Serverless 
United States, Ohio, Kent 
462466365

Yesterday

Job Summary:

You’ll be part of a team of consultants who are leaders in open hybrid cloud, platform modernization, automation, and emerging practices - including foundational AI integration. Working in agile teams alongside our customers, you’ll build, test, and iterate on innovative prototypes that drive real business outcomes.

Primary Job Responsibilities:

  • Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale.

  • Strong experience in managing “Day-2” operations of Kubernetes container platforms by collaborating with infrastructure teams in defining practices for platform deployment, platform hardening, platform observability, monitoring and alerting, capacity management, scalability, resiliency, security operations.

  • Lead the discovery, architecture, and delivery of modern platforms and cloud-native applications, using technologies such as containers, APIs, microservices, and DevSecOps patterns.

  • Collaborate with customer teams to co-create AI-ready platforms, enabling future use cases with foundational knowledge of AI/ML workloads.

  • Remain hands-on with development and implementation — especially in prototyping, MVP creation, and agile iterative delivery.

  • Present strategic roadmaps and architectural visions to customer stakeholders, from engineers to executives.

  • Support technical presales efforts, workshops, and proofs of concept, bringing in business context and value-first thinking.

  • Create reusable reference architectures, best practices, and delivery models, and mentor others in applying them.

  • Contribute to the development of standard consulting offerings, frameworks, and capability playbooks.

Required Skills and Experience:

  • Strong experience with Kubernetes, Docker, and Red Hat OpenShift or equivalent platforms

  • In-depth expertise in managing multiple Kubernetes clusters across multi-cloud environments.

  • Proven expertise in operationalization of Kubernetes container platform through the adoption of Service Mesh, GitOps principles, and Serverless frameworks

  • Migrating from XKS to OpenShift

  • Proven leadership of modern software and platform transformation projects

  • Hands-on coding experience in multiple languages (e.g., Java, Python, Go)

  • Experience with infrastructure as code, automation tools, and CI/CD pipelines

  • Practical understanding of microservices, API design, and DevOps practices

  • Applied experience with agile, scrum, and cross-functional team collaboration

  • Ability to advise customers on platform and application modernization, with awareness of how platforms support emerging AI use cases

  • Excellent communication and facilitation skills with both technical and business audiences

  • Willingness to travel up to 40% of the time

Nice to Have:

  • Experience with Red Hat OpenShift AI, Open Data Hub, or similar MLOps platforms

  • Foundational understanding of AI/ML, including containerized AI workloads, model deployment, open source AI frameworks

  • Familiarity with AI architectures (e.g., RAG, model inference, GPU-aware scheduling)

  • Engagement in open source communities or contributor background