Назад
12 дней назад

Staff Enterprise Security Engineer (AI)

194 800 - 267 850$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Enterprise Security Engineer (AI): Securing enterprise applications, cross-system integrations, data flows, and AI-adjacent workflows across the Databricks platform with an accent on security architecture reviews, identity controls, data security, and scalable automation. Focus on assessing trust boundaries and integration risks, building SSPM-style controls and Security AI Personas, and strengthening security requirements across product and enterprise systems.

Location: Remote within the United States; California is listed as the primary location.

Base salary: $155,800–$214,300, $165,600–$227,700, $175,400–$241,100, or $194,800–$267,850 per year, depending on pay zone.

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, AI applications, and agents.

What you will do

  • Establish an Enterprise Security engagement model with the Data team for corporate production development on the Databricks platform.
  • Review implementation designs, configurations, data flows, integrations, authentication, authorization, logging, and security controls.
  • Assess enterprise applications, SaaS platforms, third-party connections, modern access patterns, and AI-adjacent workflows.
  • Define practical security requirements, provide hardening guidance, track remediation, and improve security outcomes across the development lifecycle.
  • Build production security automation, monitoring, posture checks, review workflows, and tooling.
  • Develop automation and agent capabilities, including SSPM-style controls and Security AI Personas.

Requirements

  • 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field.
  • Experience conducting security design or architecture reviews for applications, SaaS platforms, integrations, or internally developed systems.
  • Hands-on familiarity with Databricks or comparable data and AI platforms, including governance, service principals, and data access patterns.
  • Strong knowledge of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege.
  • Experience building security automation with Python, SQL, Terraform, or similar technologies.
  • Strong communication skills and the ability to translate technical risk into clear requirements and actionable guidance.

Culture & Benefits

  • Work remotely from within the United States.
  • Collaborate with Product Engineering, IT, Legal Privacy, Data, and business stakeholders.
  • Work in an environment focused on technical judgment, cross-functional partnership, and scalable security engineering.
  • Benefits and additional compensation may include an annual performance bonus, equity, and region-specific employee benefits.

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