Principal Software Development Engineer

Zscaler•San Jose, CA

3d•$185,500 - $265,000•Remote

About The Position

We are looking for a Principal - Integration Engineer (Security Platform and Data Pipelines) to join our Technical Implementation and Integration team. This is a remote role based in the US, reporting to the Senior Director, Engineering. You will be responsible for connecting and onboarding diverse cybersecurity data sources, mapping and normalizing security data to power exposure and threat management use cases, and customizing workflows to deliver measurable outcomes. This role requires technical depth, comfort with complex datasets, and the ability to communicate with both technical and non-technical stakeholders.

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.

Nice To Haves

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

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.