Cloud Manager at Saviynt

Department: Support

Setup: Hybrid
Location: Bengaluru, Karnataka
Level: lead/mgmt
Posted: Jul 3, 2026

Description

Saviynt is seeking an experienced Cloud Manager to lead the design, implementation, operation, and optimization of its cloud infrastructure. The role oversees SaaS application and infrastructure monitoring, alert and incident management, operational procedures, SLAs and KPIs, on-call escalations, maintenance planning, security and compliance, and the coaching of a cloud engineering team. Candidates should have a bachelor's degree in a relevant field, 10–12 years of IT infrastructure, systems administration, cloud engineering, or DevOps experience, and 5+ years managing enterprise cloud environments across AWS, Azure, or Google Cloud Platform.

Required Skills

Kubernetes
Terraform
CI/CD
Cloud security
FinOps

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Required Previous Experiences: 10–12 years of experience in IT infrastructure, systems administration, cloud engineering, or DevOps
5+ years of hands-on experience managing enterprise cloud environments
Experience leading cloud migration, modernization, and infrastructure transformation projects
Experience managing or mentoring cloud engineering or infrastructure teams
Experience with Infrastructure as Code and CI/CD implementation
Hands-on experience with Docker and Kubernetes
Experience in cloud security, governance, disaster recovery, and cost optimization
Preferred Qualifications: AWS or Microsoft Azure cloud certifications

About Saviynt

Saviynt

Identity securityEl Segundo, CA, United States

Saviynt secures identities and helps enterprises manage access, governance, and compliance while addressing security challenges of the AI era. Its identity security solutions cover AI security, identity governance and administration, privileged access management, application access governance, and non-human identities. Saviynt registers and manages AI agents, including their access privileges and risk profile, and finds and remediates Shadow AI.

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