SOC/ SIEM Engineer (MNC)

PEOPLE PROFILERS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A recruitment agency in Singapore is seeking a candidate to manage and optimize data pipelines for security logs. The successful individual will develop parsers, implement security data models within SIEM platforms, and collaborate with SOC analysts. Key skills required include Python programming and experience with log analytics platforms like Splunk and Elastic. This role is perfect for those looking to enhance their cloud data solutions expertise.

Qualifications

• Hands-on experience with Python and log transformation pipelines.
• Familiarity with SIEM or log analytics platforms.
• Knowledge of colud platforms and optimizing data pipelines.

Responsibilities

• Build and optimize data pipelines for security logs.
• Implement and maintain security data models within SIEM platforms.
• Automate transformations for new log sources.

Skills

Python

ETL

Log parsing

Regex

Cloud platforms

Education

Degree in Computer Science, Engineering, or related technical field

Tools

Splunk

Elastic

QRadar

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].