Cloud Support Engineer job opportunity at Weekday AI.

Home Jobs In India Tag: Job Cloud Support Engineer position at Weekday AI


Date2026-01-21T13:35:17.321Z bot
Weekday AI Cloud Support Engineer
Experience: 4-years
Pattern: Full-time
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degreeMBA
loacation Kolkata, India
loacation Kolkata....India

This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs 1200000 (ie INR 5-12 LPA) Min Experience: 4 years Location: Remote (India), NOIDA, Pune, Mumbai, Kolkata, Delhi, Gurgaon, Bengaluru JobType: full-time The Cloud Support Engineer will be responsible for supporting, monitoring, and maintaining data protection and data loss prevention (DLP) capabilities across cloud environments. The role focuses on ensuring data security, compliance, and rapid incident response across AWS, Azure, and SaaS platforms. Key Responsibilities Support the implementation, configuration, and day-to-day management of DLP solutions across AWS and Microsoft Azure environments. Assist with data classification, labeling, and protection using tools such as Microsoft Purview and Azure Information Protection (AIP). Monitor and support enforcement of DLP policies across cloud storage, email platforms, endpoints, and SaaS applications. Investigate potential data leakage incidents, perform root-cause analysis, and support remediation actions. Respond to security alerts and tickets, ensuring timely resolution in line with SLAs. Collaborate with security, cloud, and compliance teams to maintain data protection standards and improve controls. Document incidents, configurations, and support procedures to improve operational efficiency. Required Skills & Expertise Hands-on experience supporting DLP implementations in AWS and Microsoft Azure. Strong knowledge of data classification, labeling, and protection frameworks. Experience working with Microsoft Purview, AIP, or similar data protection tools. Understanding of DLP policy enforcement across cloud storage, email, endpoints, and SaaS platforms. Ability to monitor, analyze, and remediate data security incidents. Good troubleshooting, analytical, and communication skills. Skills Data Loss Prevention (DLP) AWS Cloud Microsoft Azure Data Classification & Labeling DLP Policy Management Incident Monitoring & Remediation

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