Posted today · be early
Sr. Staff Integration Engineer (Security Platform and Data Pipelines)
Zscaler
IndiaremotePosted today
Skill Required
Exposure-Management-and-Security-OperationsIntegration-EngineeringData-Pipeline-EngineeringSecurity-OperationsCybersecurity-EngineeringSenior-Data-Integration-EngineerSecurity-Integration-EngineerSenior-Data-Pipeline-EngineerSenior-Integration-EngineerData EngineerPlatform EngineerSecurity EngineersecurityandCloud SecurityETLCybersecurityEngineeringdesigningITILbuildingPythonAgileCloudRustSIEMAPIsSQLAIMachine LearningFulltime
Key highlights
- Senior-level individual contributor role (Sr. Staff Integration Engineer)
- Remote-based position in India
- Comprehensive benefits including health plans, parental leave, education reimbursement, and retirement options
- Requires foundational understanding of AI/ML technologies
- Requires hands-on experience managing complete data pipeline lifecycle
- Proficiency in Python, SQL, and data modeling required
Role overview
Zscaler accelerates digital transformation by protecting thousands of customers from cyberattacks and data loss through its SASE-based Zero Trust Exchange platform, distributed across 160+ public exchanges globally and thousands of private exchanges at the edge. The company believes the future of work is Human + AI and is building an AI-native enterprise where human potential is amplified by machine intelligence to solve complex security challenges.
Responsibilities
- Connect and onboard diverse cybersecurity data sources
- Map and normalize security data to power exposure and threat management use cases
- Customize workflows to deliver measurable outcomes
- 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
Requirements
- 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
Nice to have
- 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
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more
Additional details
- Role: Sr. Staff Integration Engineer (Security Platform and Data Pipelines)
- Remote-based in India
- Reports to the Director, Software Development Engineering in the Technical Implementation and Integration department
- Requires technical depth, comfort with complex datasets, and the ability to communicate with both technical and non-technical stakeholders
- Pay Transparency: Zscaler complies with all applicable federal, state, and local pay transparency rules
- Zscaler is committed to providing reasonable support (accommodations or adjustments) in recruiting processes for candidates who are differently abled, have long-term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support
- Originally posted on Himalayas
- By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines
