Principal Software Development Engineer

🕒 il y a 17 jours

🏄 California – Distant

info

💵 $185 500 - $265 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

Cloud

Cyber Security

Python

SQL

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Zscaler

5001 - 10000 employés

Fondée en 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Entreprise

💰 Secondary Market en 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler est un leader dans la fourniture de solutions de cybersécurité basées sur le cloud, spécialisé dans l'architecture Zero Trust. L'entreprise améliore la sécurité et la connectivité des organisations en permettant un accès fluide et sécurisé aux applications et aux données dans divers environnements, y compris le cloud, les centres de données sur site et les systèmes IoT. Avec un retour sur investissement prouvé et une réduction significative des risques de cybersécurité, Zscaler permet aux entreprises de protéger leurs ressources numériques tout en optimisant les coûts opérationnels.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

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

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