Xerox Work from Home Jobs; Hiring Cybersecurity Analyst – Apply Now

Remote Cybersecurity Analyst Job Openings in Bangalore 2026!!!

Xerox announced job vacancy for the post of Cybersecurity Incident Response Analyst. The place of posting will be at Remote (Work from Home) – Hiring Office Bangalore. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Xerox
Required Qualifications	Graduate
Skills	SIEM, IDS / IPS, endpoint protection / EDR, and antivirus solutions
Category	IM Security
Work Type	Remote

They are seeking a highly skilled Cybersecurity Incident Response Analyst to serve as a key line of defense in protecting Xerox information systems. You will monitor, detect, investigate, and respond to security incidents to protect confidentiality, integrity, and availability of enterprise data and services.

Job Details

Θ Positions: Cybersecurity Incident Response Analyst

Θ Job Location: Remote (Work from Home) – Hiring Office Bangalore

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 20038071

Roles and Responsibilities:

• Incident Monitoring, Investigation, and Response
• Monitor security alerts and events using security tooling (e.g., SIEM, EDR/XDR, identity and cloud audit telemetry).
• Analyze and investigate security incidents to determine scope, impact, and probable root cause.
• Coordinate with IT and security partners to contain, eradicate, and recover from incidents in accordance with runbooks and change/control requirements.
• Maintain up-to-date knowledge of current threats, attacker techniques, and detection/response best practices.
• Conduct vulnerability assessments or support vulnerability validation activities and report findings to appropriate stakeholders.
• Assist in the development, maintenance, and continuous improvement of security policies, standards, and procedures.
• AI-Assisted Investigation and Verification
• Use AI-assisted capabilities (e.g., alert summarization, enrichment, clustering, prioritization) to accelerate triage and investigation while maintaining analyst accountability.
• Validate AI-generated findings (summaries, prioritization, hypotheses) against independent evidence sources (SIEM queries, EDR telemetry, identity logs, cloud audit logs) before acting.
• Translate escalated signals into defensible, evidence-based narratives (what happened, where, when, impacted assets/users, and confidence level).
• Identify and document inconsistencies or model errors; correct the investigative narrative using authoritative telemetry and analyst reasoning.
• Provide structured feedback to detection engineering/ML stakeholders (TP/FP label, rationale, telemetry gaps, and tuning recommendations) to improve detection quality.
• Documentation, Communication, and Automation Safety
• Document incidents in the case management system with triage summary, evidence snippets and queries used, timeline of events, actions taken, residual risk, and escalation rationale.
• Provide clear, stakeholder-appropriate incident updates; ensure escalations include relevant context, evidence, and recommended next steps.
• Execute SOAR playbooks with appropriate human-in-the-loop approvals; confirm outcomes and document success/failure states.
• Use automation responsibly to accelerate enrichment and containment while ensuring actions are reversible where feasible and aligned to approved procedures.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
• Applied proficiency and advanced understanding of cybersecurity principles and practices.
• Familiarity with security tooling such as SIEM, IDS/IPS, endpoint protection/EDR, and antivirus solutions.
• Strong analytical and problem-solving skills, including hypothesis-driven investigation.
• Excellent written and verbal communication skills; ability to collaborate effectively across teams.
• Ability to work in a fast-paced environment and manage multiple concurrent investigations.
• Ability to work autonomously to complete or hand over investigations, under general supervision.
• Working knowledge of AI-assisted security operations concepts and limitations (e.g., false positives, bias, hallucinations) with a bias toward validation.
• Discipline in sensitive data handling and data minimization when using AI tools (use approved platforms; redact or exclude unnecessary sensitive details).

Preferred Qualifications

• Industry certifications such as CompTIA Security+, CEH, GIAC (e.g., GCIH/GCIA/GMON)
• Experience with network security tooling and firewall analysis techniques.
• Experience using endpoint detection and response tools and search queries to support investigations.
• Experience investigating cloud environments (AWS, Azure) and interpreting cloud audit telemetry.
• Experience using security incident and event management platforms and incident case management systems.
• Knowledge of scripting or query languages (e.g., Python, PowerShell, SQL) to perform lightweight data analysis and validation.
• Experience contributing to detection improvement (writing/adjusting SIEM queries, proposing tuning changes, documenting repeatable triage logic).
• Experience using LLM/AI copilots to accelerate investigations, with strict validation and data‑handling practices.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.
• Access to modern cybersecurity tools and technologies.

How to Apply

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