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Job Description
Structured overview of role & requirementsAbout This Role
Architect, support, and optimize multi-cloud and AI-driven environments ensuring SLA compliance and high customer satisfaction.
Design, build, and manage CI/CD pipelines and infrastructure-as-code for container clusters and AI cloud platforms.
Lead technical documentation, mentoring, and Level 3 support with root cause analysis and preventive measures in hybrid cloud ecosystems.
Minimum Requirements
Experience in Unix/Linux systems including Red Hat, CentOS, Ubuntu, Debian.
Strong expertise in hybrid cloud platforms: OpenStack, Kubernetes, AWS, Azure, Google Cloud.
Proficiency with CI/CD, Terraform, Docker, Kubernetes, Helm, and AI/ML automation tools like Kubeflow, MLflow, SageMaker pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in end-to-end cloud and AI infrastructure architecture, especially in multi-cloud and hybrid cloud environments.
Capable of managing complex technical design and release cycles including automation of AI/ML workflows.
Able to mentor and lead teams technically on DevOps and AI cloud integration while handling level 3 operational support and troubleshooting.