Splunk Engineer

Location
Bangalore North
Workplace
On-site

About this role

Your work profile.

 

We are seeking SIEM Engineer (Splunk) to support the ongoing operations and optimization of our Splunk-based log management infrastructure. These resources will play a critical role in ensuring effective log ingestion, alerting, dashboarding, and system performance across both on-premises and cloud environments.

 

 Key Responsibilities (Project-Specific):

 

    1. Splunk Infrastructure Management: Maintain and optimize Splunk environments (on-premise and cloud).
    2. Ensure consistent and reliable log ingestion from diverse systems and applications.
    3. Data Onboarding & Management: Define and implement data onboarding processes, field extractions, and normalization.
    4. Collaborate with asset-owning teams to ensure forwarder coverage and log completeness.
    5. Alerting & Dashboards: Create and maintain dashboards and custom SPL queries for operational visibility.
    6. Ensure accuracy and effectiveness of alerting mechanisms within Splunk.
    7. Troubleshooting & Support: Investigate and resolve issues related to Splunk alerts and data ingestion.
    8. Provide solutions and recommendations for improving system performance.
    9. Automation & Documentation: Assist in developing automation tools for efficient Splunk management.
    10. Document procedures, configurations, and architectural changes.

 

 

Education:

  • Bachelor’s degree in Information Security, Computer Science, or a related field. A Master’s degree in Cybersecurity or Business Management is preferred.

Required Skill Set:

    • Proficiency in Splunk Query Language (SPL) for creating searches, alerts, and dashboards.
    • Experience with Splunk data onboarding, field extractions, and log normalization.
    • Familiarity with AWS Cloud environments and integration with Splunk.
    • General scripting knowledge (Python preferred) for automation and tooling.
    • Strong troubleshooting skills and ability to resolve complex Splunk-related issues.
    • Experience collaborating with cross-functional teams in enterprise environments.
    • Strong documentation and communication skills.
    • Ability to manage time effectively and meet operational goals.


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