Principal Software Development Engineer

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. They are seeking a Principal Integration Engineer to connect and onboard diverse cybersecurity data sources, mapping and normalizing security data to power exposure and threat management use cases while customizing workflows to deliver measurable outcomes.

Responsibilities:

• Master the Zscaler SecOps platform and partner cross-functionally with Sales, Product, and Services to translate customer requirements into actionable integration plans
• Onboard and map diverse cybersecurity and IT data sources in collaboration with subject matter experts (SMEs) to align directly with customer use cases
• Own data quality and pipeline integrity by auditing environments, proactively troubleshooting issues, identifying security gaps, and defining clear remediation steps for customers
• Leverage Python, APIs, and AI coding agents (such as Claude Code or Gemini CLI) to efficiently configure, customize, and automate data transformations and platform workflows
• Communicate technical findings to stakeholders and deliver field-based insights to the Engineering team to drive continuous product improvements

Requirements:

• Strong engineering background combined with a broad understanding of cybersecurity concepts, specifically vulnerability, exposure, and threat management
• Hands-on experience managing cybersecurity data pipelines (such as SIEM or Vulnerability Management platforms), including ingestion, mapping, deduplication, normalization, and unification
• Proven track record integrating security tools and data sources, including EDR, VM scanners, CNAPP/CSPM, ticketing/CMDB, identity, and cloud logs
• Proficiency in Python and SQL for data analysis, modeling, parsing, transformations, API interaction, automation, and end-to-end troubleshooting
• Foundational knowledge of AI/ML technologies with experience leveraging, securing, or positioning AI-driven solutions to optimize functional outcomes
• Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience
• Excellent problem-solving abilities and a high level of attention to detail
• Direct experience working with data transformation pipelines