Sr. Staff Software Development Engineer (Security Platform and Data Pipelines)

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. We are looking for a Sr. Staff Integration Engineer (Security Platform and Data Pipelines) to join our team. This is a remote, based in India role, reporting to the Director, Software Development Engineering in the Technical Implementation and Integration department. 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) - Quickly get up-to-speed on Zscaler’s SecOps platform, utilizing Python and APIs to configure, customize, and automate data transformations and workflows - Partner with cybersecurity subject matter experts (SMEs) to onboard new data pipelines and map diverse IT and security sources to fulfill specific customer use cases - Proactively troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define clear remediation steps - Collaborate cross-functionally with Sales, Product, and Services teams to translate customer needs into actionable implementation and integration plans - Communicate technical findings clearly to stakeholders and feed valuable, field-based insights back to Engineering 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) - Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain - Hands-on experience managing the complete data pipeline lifecycle, including ingestion, mapping, deduplication, normalization, merging, and unification - Specialized experience working with data pipelines within cybersecurity platforms (e.g., SIEM, Unified Vulnerability Management) alongside a broad understanding of vulnerability, exposure, and threat management - Proven ability to integrate diverse security tools and data sources, such as EDR, vulnerability scanners, CNAPP/CSPM, ticketing systems/CMDB, identity providers, and cloud logs - Strong proficiency in data modeling, SQL, and Python to

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain. Hands-on experience managing the complete data pipeline lifecycle, including ingestion, mapping, deduplication, normalization, merging, and unification. Specialized experience working with data pipelines within cybersecurity platforms (e.g., SIEM, Unified Vulnerability Management) alongside a broad understanding of vulnerability, exposure, and threat management. Proven ability to integrate diverse security tools and data sources, such as EDR, vulnerability scanners, CNAPP/CSPM, ticketing systems/CMDB, identity providers, and cloud logs. Strong proficiency in data modeling, SQL, and Python.

Quickly get up-to-speed on Zscaler’s SecOps platform, utilizing Python and APIs to configure, customize, and automate data transformations and workflows. Partner with cybersecurity subject matter experts (SMEs) to onboard new data pipelines and map diverse IT and security sources to fulfill specific customer use cases. Proactively troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define clear remediation steps. Collaborate cross-functionally with Sales, Product, and Services teams to translate customer needs into actionable implementation and integration plans. Communicate technical findings clearly to stakeholders and feed valuable, field-based insights back to Engineering to drive continuous product improvements.