SOC Engineer (MNC)

PEOPLE PROFILERS PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A recruitment agency in Singapore is looking for a skilled professional to build and optimize data pipelines for security logs. The role involves developing parsers, implementing security data models within SIEM platforms like Splunk and Elastic, and troubleshooting issues. Candidates should have a degree in Computer Science or a related field, along with hands-on experience in Python and log transformation. This position offers an opportunity to work in a dynamic environment focused on security analytics.

Qualifications

• Hands-on experience with Python, Regex, ETL, and log parsing/transformation pipelines.
• Familiarity with SIEM or log analytics platforms and security monitoring concepts.
• Experience optimizing data pipelines for scalability and cost efficiency.

Responsibilities

• Build, maintain, and optimize data pipelines for collecting security logs.
• Develop parsers and scripts to normalize and transform log formats.
• Implement and maintain security data models within SIEM platforms.
• Troubleshoot ingestion and parsing issues.
• Collaborate with SOC analysts for detection use cases.

Skills

Python

Regex

ETL

Log parsing

Data transformation

Education

Degree in Computer Science, Engineering, or related technical field

Tools

Splunk

Elastic

QRadar

AWS

Azure

GCP

Job description

Responsibilities

• Build, maintain, and optimize data pipelines for collecting and processing security logs from multiple sources.
• Develop parsers and scripts (Python, Regex, etc.) to normalize and transform inconsistent log formats.
• Implement and maintain security data models within SIEM platforms (e.g., Splunk, Elastic, QRadar).
• Optimize log storage and data structures to improve performance and reduce cloud costs.
• Troubleshoot ingestion and parsing issues in collaboration with SOC and platform teams.
• Automate data transformations and routing pipelines for new and existing log sources.
• Document pipelines, data models, and ingestion processes for operational transparency.
• Collaborate with SOC analysts and threat intelligence teams to implement detection use cases.
• Leverage machine learning or scripting to enhance log parsing and anomaly detection.
• Support onboarding of new log sources and integration with cloud or on-premise SIEM solutions.

Requirements

• Degree in Computer Science, Engineering, or related technical field.
• Hands‑on experience with Python, Regex, ETL, and log parsing/transformation pipelines.
• Familiarity with SIEM or log analytics platforms (Splunk, Elastic, QRadar, ArcSight) and security monitoring concepts.
• Knowledge of cloud platforms (AWS, Azure, GCP) and experience optimizing data pipelines for scalability and cost efficiency.

Application Instructions

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to [e-mail].