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.
Preferred candidate profile
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 operationalisation 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 modernisation, 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT Infrastructure ServicesRole: Infrastructure ArchitectEmployement Type: Full time