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Zscaler is seeking a Senior Staff Integration Engineer to join the Technical Implementation and Integration department, reporting to the Director of Software Development Engineering. This remote role is based in India and focuses on security platform data pipelines and integrations.
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. The role requires technical depth, comfort with complex datasets, and the ability to communicate with both technical and non-technical stakeholders.
Key responsibilities include:
- Rapidly onboard to 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
The ideal candidate thrives in ambiguity, acts with ownership mentality, is a strong problem-solver, collaborates at high trust, and maintains a growth mindset. You should be comfortable building solutions in dynamic environments and leveraging both high-level strategy and hands-on execution.
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
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, Information Technology, or equivalent professional experience
- Excellent problem-solving abilities and a high level of attention to detail
