Join a leading cybersecurity team focused on preventing attacks and safeguarding valuable assets. We aim to build secure, vigilant, and resilient systems by proactively managing cyber risk and enabling new opportunities. This role integrates cybersecurity principles into strategic development, effectively managing information and technology risks.

This position focuses on building robust automation frameworks to protect sensitive financial data within a multi-cloud environment. It sits at the intersection of Python development, data engineering, and cloud security, with a primary goal of streamlining detection, response, and reporting for data loss risks.

Lead technical requirement gathering and architectural design, transforming business needs into scalable automated solutions. Develop and maintain Python automation frameworks and event-driven data pipelines using AWS Lambda, S3, and SSM. Utilize PowerShell scripting for automation tasks. Manage end-to-end code deployment and version control through GitLab. Integrate multi-vendor security platforms like Zscaler and Wiz with ServiceNow to streamline security operations. Leverage expertise in designing Splunk queries for efficient log extraction.

Proficiency in Python for automation and backend development. Deep hands-on experience with AWS serverless architecture, including Lambda, S3, and Systems Manager. Strong command of GitLab for repository management and CI/CD workflows. Proficiency in PowerShell scripting. Familiarity with cloud security posture management and Data Loss Prevention (DLP) solutions such as Wiz, Microsoft Purview DLP, or Zscaler. A Bachelor's degree in engineering is required.