Principal Software Development Engineer

About Zscaler 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. Role 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. What you’ll do (Role Expectations) - 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. Who You Are (Success Profile) - You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. - You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. - You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. - You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. - You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) - 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

Strong engineering background with broad cybersecurity concepts (vulnerability, exposure, threat management). Hands-on experience managing cybersecurity data pipelines (e.g., SIEM or Vulnerability Management platforms) including ingestion, mapping, deduplication, normalization, and unification. Proven track record integrating security tools and data sources (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.

Master the Zscaler SecOps platform and collaborate with Sales, Product, and Services to translate customer requirements into actionable integration plans. Onboard and map diverse cybersecurity and IT data sources with SMEs to align with customer use cases. Own data quality and pipeline integrity by auditing environments, troubleshooting issues, identifying security gaps, and defining remediation steps for customers. Use Python, APIs, and AI coding agents to configure, customize, and automate data transformations and platform workflows. Communicate technical findings to stakeholders and provide field-based insights to drive product improvements.