Cybersecurity/ SIEM/ SOC Engineer (MNC)

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

Job summary

A leading recruitment agency in Singapore is seeking a skilled professional to build and optimize data pipelines for security logs. The ideal candidate will have a degree in Computer Science and hands-on experience with Python and Regex. Responsibilities include developing parsers, maintaining SIEM data models, and troubleshooting issues in collaboration with SOC teams. Familiarity with cloud platforms and log analytics will be advantageous. Please submit your application via the provided email.

Qualifications

• Hands-on experience with Python and Regex is essential.
• Familiarity with log parsing and transformation pipelines required.
• Knowledge of cloud optimization techniques is a plus.

Responsibilities

• Build and optimize data pipelines for security logs.
• Develop scripts for log normalization.
• Implement security data models in SIEM platforms.
• Automate data transformations and document processes.
• Collaborate with SOC analysts for detection use cases.

Skills

Python

Regex

ETL

Log parsing

Security monitoring

Cloud platforms (AWS, Azure, GCP)

Education

Degree in Computer Science or Engineering

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].