Zscaler

1 week ago

Principal Software Development Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Own integrations for cybersecurity data pipelines within the Technical Implementation and Integration team. Master the Zscaler SecOps platform, connect and onboard security/IT data sources, and map and normalize data to support exposure and threat management use cases. Ensure pipeline integrity through auditing and troubleshooting, then use Python, APIs, and AI coding agents to automate transformations and workflows. Partner across Sales, Product, and Services and communicate insights that drive continuous product improvement.

Location: San Jose

Workplace: Remote

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Master the Zscaler SecOps platform and partner cross-functionally with Sales, Product, and Services to translate customer requirements into integration plans.
•Onboard and map diverse cybersecurity and IT data sources with subject matter experts to align with customer use cases.
•Own data quality and pipeline integrity by auditing environments, troubleshooting issues, identifying security gaps, and defining remediation steps.
•Leverage Python, APIs, and AI coding agents to configure, customize, and automate data transformations and platform workflows.
•Communicate technical findings to stakeholders and deliver field-based insights to drive continuous product improvements.

Pay and Benefits

Salary: USD 185,500 - 265,000

Perks:Health InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

•Strong engineering background with broad understanding of cybersecurity concepts, specifically vulnerability, exposure, and threat management.
•Hands-on experience managing cybersecurity data pipelines (e.g., 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 or positioning AI-driven solutions to optimize outcomes.

Experience:CybersecuritySecurity operationsData pipelinesSIEMVulnerability management

Education:Bachelor's in Computer Science or Information Technology

Skills:Problem-solvingAttention to detailOwnershipHigh-trust collaborationCommunication

Languages:English

Tech Stack:PythonSQLAPIsAI coding agentsClaude CodeGemini CLISIEMVulnerability ManagementEDRVM scannersCNAPPCSPMTicketingCMDBIdentityCloud logsAI/MLData transformation pipelines

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

Website LinkedIn

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Zscaler

1 week ago

Principal Software Development Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Remote

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Master the Zscaler SecOps platform and partner cross-functionally with Sales, Product, and Services to translate customer requirements into integration plans.
•Onboard and map diverse cybersecurity and IT data sources with subject matter experts to align with customer use cases.
•Own data quality and pipeline integrity by auditing environments, troubleshooting issues, identifying security gaps, and defining remediation steps.
•Leverage Python, APIs, and AI coding agents to configure, customize, and automate data transformations and platform workflows.
•Communicate technical findings to stakeholders and deliver field-based insights to drive continuous product improvements.

Pay and Benefits

Salary: USD 185,500 - 265,000

Perks:Health InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

•Strong engineering background with broad understanding of cybersecurity concepts, specifically vulnerability, exposure, and threat management.
•Hands-on experience managing cybersecurity data pipelines (e.g., 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 or positioning AI-driven solutions to optimize outcomes.

Experience:CybersecuritySecurity operationsData pipelinesSIEMVulnerability management

Education:Bachelor's in Computer Science or Information Technology

Skills:Problem-solvingAttention to detailOwnershipHigh-trust collaborationCommunication

Languages:English

Tech Stack:PythonSQLAPIsAI coding agentsClaude CodeGemini CLISIEMVulnerability ManagementEDRVM scannersCNAPPCSPMTicketingCMDBIdentityCloud logsAI/MLData transformation pipelines

Company Brief

Zscaler

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

Website LinkedIn