Principal Software Development Engineer

Zscaler•San Jose, CA

2d•Remote

About The Position

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

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.