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Senior InfoSec Analyst

Salary
₹15–30 LPA
Location
Gurugram, India
Experience
Senior
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About the company & role

About the Role MongoDB is looking for a Senior InfoSec Analyst to join our Computer Security Incident Response Team. You will detect, investigate, and respond to security events across our corporate and cloud environments. You'll act as a technical lead on incidents, mentor analysts, and work with Engineering, IT, Legal, and Privacy teams to reduce risk. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What You'll Do Lead investigations from triage through containment, scoping, remediation, and postmortem for security events Analyze logs, endpoint telemetry, and cloud and SaaS audit data to distinguish true positives from false positives and reconstruct attacker or user activity timelines Investigate credential and secret exposure, endpoint detections, phishing, data exposure, and policy violations such as unauthorized tool or AI usage Automate repetitive response work using scripting and APIs, including enrichment, ticketing, and notification workflows Maintain runbooks, playbooks, and severity and escalation standards Contribute to employee-facing security guidance and awareness Mentor junior analysts and help raise the team's investigative and communication standards What We're Looking For 5+ years in security operations, incident response, detection engineering, or a related field Hands-on experience leading incidents end to end, including clear stakeholder communication during and after an event Strong log analysis skills in a SIEM and fluency with EDR tools Working knowledge of cloud security (AWS, GCP, or Azure), identity and access management, and SaaS security Solid understanding of attacker techniques and frameworks such as MITRE ATT CK Ability to prioritize and make sound decisions under ambiguity and time pressure Strong written communication, including incident reports and executive-ready summaries Nice to Have Experience integrating LLM or AI tooling into security workflows, or assessing AI-related risk Fami