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SIEM Engineering L3

SIEM Engineering L3

Kyndryl
5-8 Years
Not Disclosed
  • Posted 21 hours ago
  • Be among the first 10 applicants

Job Description

Job Title: SIEM Engineering L3

Location: Noida, Greater Noida

Shift & schedule : 5 days office (Rotational)

Job Description Summary:

Works to protect organizational systems, networks, and data from unauthorized access, theft, damage, or other malicious activities. Proactively engages in the threat hunting process, searching for advanced threats, attackers, and indicators of compromise (IOCs) that may have evaded existing security measures, to identify and mitigate security threats before they cause significant harm to an organization. Engages in endpoint detection and response (EDR) to detect and respond to security incidents at the endpoint level, such as on individual workstations, laptops, servers, and other devices. Participates in collecting, analyzing, and preserving digital data for use as evidence in investigating cybercrimes, security breaches, and other types of digital incidents for the purposes of forensics. Utilizes the incident management process of managing and responding to cybersecurity incidents, which may include unauthorized access to systems, data breaches, malware infections, denial-of-service attacks, and other types of cyber threats. Uses Network Detection and Response (NDR) to monitor network traffic and identify and respond to unusual or suspicious activity. Gathers, analyzes, and interprets information to identify potential security threats and risks as part of security intelligence analysis.

Requirement Specification :

Exp : 5-8 Yrs

Skills required:

  • Log Source Integration.
  • Onboarding of Log Source.
  • Migration.
  • Upgrade.
  • Detection Use Case.
  • Finetuning Detection Use Case.
  • Automation
  • Need to have end to end integration exp in project. Should have mostly worked on integration part.

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

End to end integration

Detection Use Case

Onboarding of Log Source

Finetuning Detection Use Case

Log Source Integration

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