Principal Software Development Engineer

Zscaler

Principal Software Development Engineer at Zscaler connecting diverse cybersecurity data sources in a remote role. Collaborating cross-functionally to ensure data management efficacy.

Posted 7/10/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $185,500 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing cybersecurity data pipelines and integrating security tools, with strong proficiency in Python and SQL for data analysis and automation. Capable of collaborating cross-functionally to translate customer requirements into actionable integration plans while ensuring data quality and pipeline integrity.

Highest-signal resume keywords

Cybersecurity Data Pipeline ManagementPython ProficiencySQL ProficiencyIntegration of Security ToolsAI/ML Technologies Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData MappingData TransformationAutomationTroubleshootingVulnerability ManagementExposure ManagementThreat ManagementAPI InteractionData Normalization

Soft Skills

CommunicationCollaboration

Tools & Technologies

Zscaler SecOpsSIEMEDRVM ScannersCNAPPCSPMTicketing SystemsCMDBCloud LogsAI Coding Agents

Industry Keywords

CybersecurityData QualityPipeline IntegritySecurity GapsRemediation Steps

Tech Stack

Tools & technologies

CloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

Master the Zscaler SecOps platform and partner cross-functionally with Sales, Product, and Services to translate customer requirements into actionable integration plans.
Onboard and map diverse cybersecurity and IT data sources in collaboration with subject matter experts (SMEs) to align directly with customer use cases.
Own data quality and pipeline integrity by auditing environments, proactively troubleshooting issues, identifying security gaps, and defining clear remediation steps for customers.
Leverage Python, APIs, and AI coding agents (such as Claude Code or Gemini CLI) to efficiently configure, customize, and automate data transformations and platform workflows.
Communicate technical findings to stakeholders and deliver field-based insights to the Engineering team to drive continuous product improvements.

Requirements

What you’ll need

Strong engineering background combined with a broad understanding of cybersecurity concepts, specifically vulnerability, exposure, and threat management.
Hands-on experience managing cybersecurity data pipelines (such as SIEM or Vulnerability Management platforms), including ingestion, mapping, deduplication, normalization, and unification.
Proven track record integrating security tools and data sources, including EDR, VM scanners, CNAPP/CSPM, ticketing/CMDB, identity, and cloud logs.
Proficiency in Python and SQL for data analysis, modeling, parsing, transformations, API interaction, automation, and end-to-end troubleshooting.
Foundational knowledge of AI/ML technologies with experience leveraging, securing, or positioning AI-driven solutions to optimize functional outcomes.

Benefits

Comp & perks

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!