AVP/VP, SIEM & SRE Engineering, Technology Group
On-site · Singapore, Singapore
Singapore, SingaporeOn-siteFull TimeSenior LevelBachelors DegreeEnterprise
Type
Full Time
Level
Senior Level
Education
Bachelors Degree
Company size
Enterprise
Job Summary
Lead design, implementation, and optimization of enterprise observability and reliability solutions using SIEM and data lake platforms; drive governance, automation, and alignment with regulatory requirements; collaborate across security, cloud, and application teams; deliver runbooks, incident response, and executive dashboards; hands-on leadership in Splunk, Databricks Lakewatch, and cloud-native observability in AWS/Azure; and contribute to CI/CD, IaC, and data engineering initiatives.
Required Qualifications
- Bachelor’s or Master’s degree in computer science, Engineering, or related discipline
- 10+ years’ experience in Infrastructure, Cloud, or SRE roles
- at least 5+ years specializing in SIEM/Lakewatch engineering or observability in financial or regulated environments
- Hands-on expertise in SIEM Platforms: Splunk (must), EL/Elastic
- Automation / IaC: Terraform, Ansible, Python; CI/CD tools
- Cloud Platforms: AWS (CloudWatch, X-Ray, CloudTrail), Azure (Monitor, Log Analytics, App Insights), Datadog, ServiceNow
- Deep understanding of SRE principles, service health modelling, error budgets, and auto-remediation design
- Data Lake & large-scale data platform expertise (Databricks Lakewatch, AWS S3, Azure Data Lake, Snowflake, etc.) and ETL/ELT tooling (Apache Spark, Kafka, Airflow, Glue)
- SQL and Python/Scala skills; data governance including schema design, partitioning, metadata management
- SIEM, Detection Engineering & Response with Splunk, Databricks, Microsoft Sentinel; SOAR tooling
- Experience with AI for security/data (LLM integration, RAG, vector databases) and MLOps/AIOps concepts
- Cross-domain integration of SIEM logs into data lake and real-time analytics pipelines (Kafka, Kinesis)
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