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Salary
≈ $13k – $28k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 26, 2026. Harris Computer scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Harris Computer is a global software enterprise specializing in vertical market software and mission-critical enterprise solutions. The company focuses on acquiring, developing, and managing specialized software platforms for public sector entities, healthcare institutions, utility providers, and private sector businesses. Headquartered in Ottawa, Canada, it operates as an operating group of Constellation Software Inc., serving thousands of organizations across North America, Europe, Asia, and Australia.

Senior IT Cyber Defense Analyst (Shift Lead)

AI-Enabled Security Operations | 24/7 SOC

Location: Remote - Pune/Baroda, India

Department: IT Cybersecurity - Security Operations Center (SOC)

Reports To: SOC Manager

Work Schedule: 24/7 rotational shifts

About the Role

We are seeking an experienced Senior IT Cyber Defense Analyst (Shift Lead) to lead day-to-day SOC operations, oversee security investigations, coordinate incident response, and mentor SOC analysts. The ideal candidate will bring strong SIEM/EDR expertise, advanced threat investigation skills, and hands-on experience using AI/LLM tools and automation to improve SOC efficiency and detection capabilities.

Key Responsibilities

· Lead SOC shift operations, prioritize alerts, manage escalations, and ensure timely handovers and SLA adherence.

· Investigate complex incidents involving phishing, malware, ransomware, compromised accounts, endpoint threats, and suspicious network activity.

· Conduct threat hunting, correlate security telemetry, and map attacker behavior to the MITRE ATT&CK framework.

· Develop, optimize, and troubleshoot SIEM queries, analytics rules, and detection use cases using Microsoft Sentinel and KQL.

· Use approved AI/LLM tools for alert triage, investigation assistance, threat intelligence enrichment, KQL development, incident reporting, and workflow automation; independently validate AI-generated outputs.

· Automate repetitive SOC tasks using Python, PowerShell, APIs, or SOAR capabilities.

· Mentor analysts, improve investigation quality, reduce false positives, and maintain accurate incident documentation and audit-ready evidence.

· Coordinate with Incident Response, IT, Endpoint, Network, and Cloud teams to support containment, remediation, and recovery.

Required Skills and Qualifications

· Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or equivalent practical experience.

· 5+ years of experience in SOC, cyber defense, or incident response, including shift leadership, incident coordination, or analyst mentoring.

· Strong hands-on experience with SIEM, EDR/XDR, incident investigation, and threat detection.

· Proficiency in Microsoft Sentinel and KQL; experience with Microsoft Defender, CrowdStrike, or similar security platforms.

· Strong understanding of networking, Windows/Linux, identity security, email threats, and MITRE ATT&CK.

· Mandatory practical AI/LLM proficiency, including prompt engineering, AI-assisted investigations, validation of AI-generated queries/scripts, and awareness of hallucinations, prompt injection, and data privacy risks.

· Scripting or automation experience using Python, PowerShell, APIs, or SOAR tools.

· Strong analytical, communication, decision-making, and team leadership skills; willingness to work in a 24/7 rotational shift environment.

Preferred Qualifications

· Certifications such as Microsoft SC-200, CompTIA CySA+, GCIH, or relevant SIEM/EDR vendor certifications.

· Experience in proactive threat hunting, detection engineering, cloud security, and SOC process improvement.

What Success Looks Like

· Effective shift leadership and timely, high-quality incident handling.

· Improved detection coverage, investigation efficiency, and reduced false positives.

· Practical adoption of AI and automation to reduce repetitive work while maintaining security, accuracy, and human oversight.

· Strong analyst development, documentation, and operational consistency.

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