Senior Threat Detection Engineer

Get to Know the Team

Our Detection Engineering function in Cyber Defence is responsible for detecting managing and responding to malicious activity across Grabs infrastructure from cloud and SaaS to endpoints and identity platforms. We follow our detection-as-code framework and lifecycle G-DARF (Grab Detection Alerting and Response Framework).

You will be reporting to the Security Automation and Detection Engineering Manager partnering with the Security Operations team platform teams and other cyber functions.

Get to Know the Role

We are looking for a Security Engineer (Detection Engineering) to research and build new detection capabilities with a primary focus on:

• Amazon EKS and containerized microservices
• AI / MCP and agentic systems security detections
• Autonomous vehicle / IOT platforms and supporting infrastructure
• Other new threats identified through incidents threat intel purple teaming and ongoing findings

This is a hands-on engineering-heavy role that combines threat research security operations experience and software engineering.

This is a fully onsite role and will be based at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• Research new detections
  • Research attacker TTPs relevant to focus areas and translate them into concrete detection opportunities.
  • Perform focused analysis of log sources (e.g. Kubernetes/EKS CloudTrail GuardDuty AV telemetry AI/agent frameworks) to understand visibility constraints and potential blind spots.
  • Collaborate with threat intel red/purple team incident responders and platform teams to turn incident insights and threat intel into proactive detections improve log coverage and validate assumptions.
• Build test and deploy detection logic
  • Implement high-fidelity detection rules and analytics across SIEM EDR SOAR and custom detection frameworks. Follow detection-as-code practices including version control code review automated tests and CI/CD.
  • Prototype and validate detection logic against large-scale log data in the Security Data Lake using SQL/KQL.
  • Ensure detection logic is operationally sound: performant at scale and suitable for near realtime and batch use cases.
• Lead the detection lifecycle and tuning
  • Participate in daily detection lifecycle activities: backlog grooming prioritisation development staging deployment monitoring and iterative tuning.
  • Review alert quality false positive patterns and coverage gaps; create targeted fine-tuning and suppression strategies to reduce alert fatigue while preserving coverage.
  • Support the creation and tracking of detection metrics (e.g. time to deploy false positive rate coverage detection MTTR inputs) and use them to guide continuous improvement.
• Incident and response support
  • Triage and investigate alerts with CSIRT if required validate our detection hypotheses and deliver emergency detections when we discover active threats.
  • Provide clear guidance on expected behaviour triage steps and response actions so responders can act.
  • Participate (where required) in adhoc or rostered oncall / incident support to address urgent security matters.
• Documentation communication and collaboration
  • Produce high-quality detection documentation (goal context logic false positives blind spots response runbook) aligned to our detection framework standards.
  • Present new detections and alerts to Cyber Defence; explain the why how and operational impact.

Qualifications :

What Essential Skills You Will Need

• A degree in Computer Science Software Engineering Cyber Security or related fields
• Hands-on security response experience (e.g. SOC DFIR and security engineering) with experience investigating incidents writing timelines and driving remediation.
• 3 years of experience with at least one cloud platform (Azure AWS GCP)
• Direct experience working with SIEM EDR and SOAR platforms in an operational environment (e.g. building rules dashboards runbooks or integrations).
• Coding skills in at least one generalpurpose language ( Python/Go) for building detection logic data processing scripts and automation/integration workflows.
• Comfortable writing detection and investigation queries in SQL including working with large security datasets in a datalake or bigdata environment.
• Experience tuning detection rules across multiple log sources (cloud endpoint network identity SaaS).
• Experience using AI

Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
• Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.

Remote Work :

No

Employment Type :

Full-time