SIEM Systems Engineer designing and implementing security measures at MUFG. Collaborating globally on operational security architectures and standards within the engineering team.
Responsibilities
Design, implement, and operate enterprise-scale SIEM architectures with a strong emphasis on Cribl Stream / Edge as the primary data pipeline feeding Splunk and other downstream consumers
Leverage industry trends and market research to adopt the best practices to enhance the SIEM and SOAR platforms.
Build and manage Security Data Lakes and Warehouses, with a strong preference for AWS-based solutions (e.g., S3, Snowflake, Databricks).
Define SIEM and SOAR platform standards including data schema, modelling, normalization, monitoring and alerting.
Develop scalable patterns for integrating on-prem, cloud, SaaS, container, and application data sources into Cribl and SIEM platforms
Use Regex, Splunk SPL, Kusto Query Language (KQL) and scripting (Python, Ansible) to parse, normalize, enrich, and detect security events.
Ability to conduct fraud analysis and threat detection.
Create dashboards, metrics, trends, and executive-level reporting using SIEM & SOAR data.
Identify opportunities to enhance the current baseline processes and configuration
Produce engineering, integration and process related documentation.
Manage vendor relationships to drive roadmap, solution design, implementation and troubleshooting
Work with key stakeholders of the services to ensure the expectations are meeting the requirements
Requirements
At least 5+ years of experience in technology with emphasis on cyber security.
At least 3+ years of experience in SIEM and SOAR products such as Splunk, Elastic, Datadog, Cribl, etc.
At least 1+ years of experience in Data Lake and data warehouse using products such as AWS S3, Snowflake, Databricks, etc.
Experience with scripting is highly preferred like Python, Ansible etc.
Experience in creating trending, metrics, and management reports
Working knowledge in RegEx, Splunk search language, etc. is required.
Knowledge and experience operating in a hybrid-cloud environment.
Knowledge of modern security principles and their practical applications.
Knowledge and experience in AWS or Azure
Knowledge and experience with programming language to automate tasks (e.g. Python or PowerShell)
Benefits
comprehensive health and wellness benefits
retirement plans
educational assistance and training programs
income replacement for qualified employees with disabilities
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