Lead SIEM Data Security Engineer

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profile Job Location:

Toronto - Canada

profile Monthly Salary: CAD 10 - 10
profile Experience Required: 5years
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Role Descriptions
Key Responsibilities Create and update Trading Partners routing rules service configurations adapters and business process
Support deployment activities such as code changes maps BP updates etc.
Monitor sterling file transfer flows queues BP execution system health and availability.
Perform root cause analysis and resolve incidents within SLA timelines.
Handle escalated incidents
Manage encryption and security configurations (PGP SSL SSH etc).
Provide Level 2 support for IBM Sterling File Gateway and related MFT components.
Support production environments on a rotational 247 on-call basis.
Collaborate with infrastructure application and security teams to ensure seamless operations.
Maintain technical documentation and operational procedures.
Participate in change management processes using ServiceNow.

Required Skills Experience
Working Experience in IBM SFG B2B integrator CCM SSP-CM SEAS.
Strong knowledge of file transfer protocols FTP SFTP FTPS HTTPS AS2.
Proficiency in UnixLinux environments and shell scripting.
Experience with dynatrace for monitoring and log analysis.
Exposure to container platforms (e.g. OpenShift) is a plus.
Experience with DevSecOps tools like GitHub and YAML formatting.

Skills
Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD)
Dynatrace
Digital : IBM Sterling Commerce OMS

Experience Required
810 years


Required Skills:

Android and iOS

Role Descriptions Key Responsibilities Create and update Trading Partners routing rules service configurations adapters and business process Support deployment activities such as code changes maps BP updates etc. Monitor sterling file transfer flows queues BP execution system health and availabili...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala