Security Engineer – AWS Security Incident Response, Cloud Security, AI Security, EDR & SIEM

Summary of Position:

Responsible for planning, managing, and implementing cybersecurity and IT compliance to ensure effective enterprise protection and innovation in the organization.

We are looking for an intermediate-level Security Engineer who can support Alcon’s Cyber Incident Response and Threat Management function across AWS cloud security, SIEM monitoring, EDR/XDR operations, cloud incident response, and emerging AI security risks. This person should be hands-on, practical, and comfortable working with SOC, Cloud, Infrastructure, Identity, and application teams to improve threat detection, response, and security posture.

Role Expectations:

• Monitor, investigate, and respond to security alerts across cloud, endpoint, identity, email, SaaS, and enterprise environments.
• Take ownership of assigned incidents from triage through containment, remediation support, documentation, and lessons learned.
• Work with internal teams and external SOC partners to ensure incidents are handled consistently and within defined operational expectations.
• Contribute to detection improvements, playbook maturity, operational documentation, and knowledge sharing across the SOC team.

Key Responsibilities:

1. AWS Security Incident Response & Cloud Security

• Investigate AWS security alerts, suspicious activity, misconfigurations, and potential compromise scenarios using available cloud logs and security tooling.
• Review AWS security findings from services such as GuardDuty, Security Hub, CloudTrail, Config, IAM, CloudWatch, Inspector, and related monitoring sources.
• Support containment and remediation activities for cloud security incidents in coordination with Cloud Engineering and application owners.
• Identify gaps in cloud logging, monitoring, alerting, access control, and security posture, and recommend practical improvements.
• Assist in building and maintaining cloud incident response runbooks, investigation steps, and escalation procedures.
• Enhance incident detection and response capabilities for Cloud platforms.

2. SIEM Monitoring & Detection Engineering

• Work on Microsoft Sentinel and other SIEM-related monitoring activities to detect, investigate, and correlate threats across multiple data sources.
• Create, review, and tune SIEM use cases to improve alert quality and reduce false positives.
• Support onboarding and validation of important log sources including cloud, identity, endpoint, email, firewall, SaaS, and application logs.
• Develop dashboards, basic reporting, and operational metrics to improve visibility for SOC and leadership stakeholders.
• Map detections and investigation logic to common attacker behaviors using MITRE ATT&CK where applicable.

3. EDR / XDR Operations

• Investigate EDR/XDR alerts from platforms such as Microsoft Defender XDR and other endpoint security tools.
• Perform endpoint triage, device isolation support, IOC validation, malware investigation, and remediation coordination.
• Identify endpoints missing security coverage and work with responsible teams to support remediation and visibility improvement.
• Support policy tuning, alert validation, and operational improvements to strengthen endpoint detection and response.
• Coordinate with Infrastructure, Desktop Engineering, and Vulnerability Management teams where endpoint issues require ownership outside SOC.

4. AI Security & Secure AI Operations

• Support security monitoring and investigation of AI-related risks such as unauthorized AI usage, data leakage, prompt injection, model misuse, risky plugins/connectors, and AI-assisted phishing or social engineering.
• Assist in defining practical AI security guardrails for SOC usage, including access control, logging, acceptable use, data handling, and escalation criteria.
• Contribute to AI security incident response workflows and help document how AI-related security events should be triaged and escalated.
• Support secure use of Microsoft Security Copilot and other AI-enabled security tools by helping validate use cases, risks, controls, and operational logging needs.
• Stay current on AI threat trends and translate them into practical SOC monitoring and response actions.

5. Incident Response, Threat Hunting & Continuous Improvement

• Perform structured incident analysis including scope identification, timeline review, evidence collection, containment recommendations, and post-incident documentation.
• Participate in threat hunting and proactive detection improvement activities across cloud, endpoint, identity, and SIEM data.
• Create and maintain SOC knowledge articles, incident handling guides, detection notes, and runbooks.
• Support internal and external audit requests by providing clear operational evidence where applicable.
• Identify automation opportunities using SOAR, scripting, KQL, PowerShell, Python, or cloud-native capabilities to reduce repetitive manual effort.

Key Requirements/Minimum Qualifications:

• 5-7 years of experience in SOC operations, incident response, cloud security, SIEM engineering, EDR/XDR operations, or a related cybersecurity role.
• Hands-on experience with AWS security concepts including IAM, logging, monitoring, network security, encryption, and incident investigation.
• Working knowledge of AWS security services such as GuardDuty, Security Hub, CloudTrail, Config, Inspector, IAM, and CloudWatch.
• Experience with SIEM tools, preferably Microsoft Sentinel, including alert investigation, KQL/log analysis, rule tuning, and dashboard/reporting support.
• Experience with EDR/XDR platforms, preferably Microsoft Defender XDR, including endpoint investigation, containment, and remediation coordination.
• Support secure adoption of AI capabilities by identifying security risks, monitoring misuse scenarios, and helping define security guardrails.
• Good understanding of incident response lifecycle, threat hunting, common attack techniques, and MITRE ATT&CK.
• Basic scripting or query skills using KQL, PowerShell, Python, or similar technologies.
• Good written communication skills with the ability to document incidents, actions taken, findings, and recommendations clearly.

Preferred Qualifications

• AWS Certified Security - Specialty, AWS Solutions Architect Associate, or equivalent cloud security certification.
• Microsoft SC-200, SC-100, AZ-500, GCIH, GCIA, or similar security certifications.
• Experience working in a global SOC or managed security operations model.
• Exposure to Microsoft Security Copilot, SOAR platforms, threat intelligence platforms, or automation workflows.
• Experience in regulated environments such as healthcare, life sciences, or global enterprise operations.

Work hours: 4 PM to 1 AM IST

Relocation assistance: Yes

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