
The Senior Cybersecurity Analyst is responsible for supporting cybersecurity activities to safeguard enterprise systems, networks, and applications. This role helps design, implement, and monitor security controls, enabling a secure and compliant technology environment. This position contributes to data protection architecture, vulnerability management, incident response, and alignment with industry cybersecurity standards. This role operates within a hybrid, Azure-based enterprise environment and partners closely with IT, engineering, and security stakeholders worldwide.
• Lead and perform security investigations, incident response, and threat hunting across enterprise environments.
• Analyze, triage, and respond to security alerts from SIEM, EDR, identity, and cloud sources.
• Perform root cause analysis and drive containment, eradication, and recovery efforts.
• Participate in on-call or escalation rotations as required for security incidents.
• Maintain and enhance detection capabilities within Rapid7 Insight IDR, including alert tuning, visibility improvement, and response workflow optimization.
• Proactively hunt for threats across endpoint, identity, network, and cloud telemetry.
• Collaborate with internal teams to improve signal-to-noise ratio and overall security posture.
• Manage and support Beyond Trust Password Safe, including credential vaulting, access workflows, auditing, and operational use.
• Partner with infrastructure, cloud, and application teams to onboard privileged accounts and enforce least-privilege access.
• Support and secure workloads in a hybrid Azure environment, including identity, logging, access controls, and integrations.
• Investigate and respond to security incidents impacting cloud-hosted resources.
• Partner with IAM, cloud, and platform teams to improve security-by-design practices.
• Working knowledge of Artificial Intelligence (AI) and Machine Learning concepts as applied to cybersecurity.
• Experience or familiarity with AI-assisted threat detection, investigation automation, and analytics.
• Understanding of AI-related security risks, misuse scenarios, and governance considerations.
• Ability to evaluate and securely operate AI-enabled security tools within an enterprise environment.
Certifications such as SSCP, CEH, Security+, CISSP, or equivalent are strongly preferred.
• Experience with Azure security concepts, and identity/access management.
• Knowledge of frameworks including SOC 2, ISO 27001, NIST CSF, HIPAA, and GDPR.
• Strong analytical, documentation, and problem‑solving skills.
• Microsoft Azure security certifications such as AZ-500 (Microsoft Azure Security Technologies) or Azure Security Engineer Associate.
Location - Gurugram