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

Zscaler
Bengaluru, India
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Problem-solving","Attention to detail","Cross-functional collaboration","Communication","Ownership"]

Build and automate security data pipelines for a Zero Trust SecOps platform, connecting and onboarding diverse cybersecurity data sources. Map, normalize, and troubleshoot complex datasets to power exposure and threat management use cases, partnering with security SMEs to deliver customer-specific workflows. Collaborate cross-functionally across Sales, Product, and Services, clearly communicate findings to stakeholders, and feed actionable insights back to Engineering to drive continuous product improvements.

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FursaFursa
Zscaler
Zscaler
1 day ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and automate security data pipelines for a Zero Trust SecOps platform, connecting and onboarding diverse cybersecurity data sources. Map, normalize, and troubleshoot complex datasets to power exposure and threat management use cases, partnering with security SMEs to deliver customer-specific workflows. Collaborate cross-functionally across Sales, Product, and Services, clearly communicate findings to stakeholders, and feed actionable insights back to Engineering to drive continuous product improvements.
Location: Bengaluru, India
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Get up to speed on the SecOps platform and use Python and APIs to configure, customize, and automate data transformations and workflows.
  • •Partner with cybersecurity SMEs to onboard new data pipelines and map IT/security sources to fulfill specific customer use cases.
  • •Troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define remediation steps.
  • •Collaborate cross-functionally with Sales, Product, and Services to translate customer needs into integration and implementation plans.
  • •Communicate technical findings to stakeholders and share field insights back to Engineering to drive continuous product improvements.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirement Options

Key Requirements

  • •Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes in your domain.
  • •Hands-on experience managing the full data pipeline lifecycle: ingestion, mapping, deduplication, normalization, merging, and unification.
  • •Specialized experience building data pipelines in cybersecurity platforms (e.g., SIEM, Unified Vulnerability Management) for vulnerability, exposure, and threat management.
  • •Proven ability to integrate diverse security tools and data sources (e.g., EDR, vulnerability scanners, CNAPP/CSPM, ticketing systems/CMDB, identity providers, cloud logs).
  • •Strong proficiency in data modeling, SQL, and Python to parse data, execute transformations, work with APIs, and troubleshoot complex issues end to end.
Experience:CybersecuritySecOpsSIEMVulnerability managementThreat management
Education:Bachelor's in Computer Science, Information Technology, or equivalent
Skills:Problem-solvingAttention to detailCross-functional collaborationCommunicationOwnership
Languages:English
Tech Stack:PythonSQLAPIsData modelingEDRSIEMUnified Vulnerability ManagementVulnerability scannersCNAPPCSPMTicketing systemsCMDBIdentity providersCloud logs

Company Brief

Zscaler
Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2007
WebsiteLinkedIn