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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
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