Senior Consultant - Cloud
About this role
About us
Join us at Orange Business!We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
About the role
As a Senior Cloud Consultant, you will be responsible for architecting, supporting, and optimizing multi-cloud and AI-driven environments. Your goal is to deliver technical excellence with high Customer Happiness by meeting Service Level Agreements (SLAs) and ensuring process compliance. You will guide Project TDA’s in Edge Computing, DevOps Automation, and AI/ML Infrastructure, create LLDs for ongoing projects, manage release cycles, and maintain a robust LAB infrastructure for Proof-of-Concept and innovation initiatives.
Responsibilities
• Provide Level 3 design and support for Unix/Linux troubleshooting, incident management, root cause analysis (RCA), and implement preventive measures. • Build, operate, and optimize CI/CD pipelines for deploying container-based clusters (Rancher, Kubernetes, OpenStack, AI model services). • Respond to RFPs related to Open Source, DevOps, and AI cloud platform requirements. • Contribute to AI cloud infrastructure design , enabling model deployment, monitoring, and scaling across platforms. • Create and maintain Terraform scripts and Infrastructure-as-Code (IaC) repositories to ensure consistency and automation. • Automate cloud-based services, DevOps, and AIOps workflows using advanced orchestration tools. • Deep understanding of Unix-based OS – Red Hat, CentOS, Ubuntu, Debian, etc. • Strong expertise in hybrid cloud ecosystems: OpenStack, Kubernetes, AWS, Azure, and Google Cloud. • Design and implement automated and intelligent workflows for AI/ML orchestration and monitoring. • Develop technical documentation and architecture blueprints (HLDs/LLDs). • Mentor and provide technical training to L2 operations on DevOps and AI integration topics. • Practical knowledge of automation and DevOps tools – GitHub, Prometheus Keycloak, NeuVector, Terraform, Harbor, Docker, Kubernetes, Helm, and MLOps systems (Kubeflow, MLflow, SageMaker pipelines). • Collaborate with data and AI teams to integrate model life cycles into cloud environments securely and at scale.
About you
Key Result Areas
• Technical Architecture and Design • Solution Design and Implementation • Product Life-Cycle Management (Cloud + AI) • Pre-Sales Support • Roadmap & Release Management • Level 3 Support