Sr. Staff Integration Engineer (Security Platform and Data Pipelines)

Overview

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

Role

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 handle data parsing, execute transformations, interact with APIs, and troubleshoot complex data issues from end to end

What Will Make You Stand Out (Preferred Qualifications)

Experience designing or optimizing security data pipelines that feed AI-driven anomaly detection models or automated threat-hunting systems

Bachelor’s degree in Computer Science, Informat