Architect, APAC Services

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What You Will Do

• Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale.
• Lead the Day-2 operations of Kubernetes container platforms by collaborating with infrastructure teams on platform deployment, hardening, observability, monitoring and alerting, capacity management, scalability, resiliency, and security operations.
• Lead the discovery, architecture, and delivery of modern platforms and cloud-native applications using containers, APIs, microservices, and DevSecOps patterns.
• Collaborate with customer teams to co-create AI-ready platforms, enabling future 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.

What You Will Bring

• 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 platforms 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, speaking Indonesian is a big plus
• 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

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. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. We’re a leader in open source because of our open and inclusive environment.

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. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but celebrated. We welcome applicants from all backgrounds and perspectives.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, disability, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees related to unsolicited resumes or CVs except as required in a written contract.

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