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2 часа назад

Senior Platform Engineer (AI Security)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Senior Platform Engineer (AI Security): Building security platforms, automation, and delivery-pipeline guardrails for a global SaaS environment with an accent on application security, supply chain security, cloud security posture, and AI-enabled engineering tools. Focus on integrating security tooling, automating vulnerability remediation workflows, and designing developer-friendly controls across the software development lifecycle.

Location: 100% remote anywhere in the United States

Company

hirify.global provides data integrity software, data enrichment products, and strategic services for more than 12,000 global organizations.

What you will do

  • Lead security tooling across application security, dependency and software supply chain security, artifact and container security, cloud security posture, and policy-driven workflows.
  • Build, integrate, and operate platforms such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, and Checkmarx.
  • Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows.
  • Translate security policies into delivery-pipeline guardrails, practical controls, and developer-friendly workflows.
  • Improve the developer experience by reducing security-tooling noise and clarifying remediation steps.
  • Lead security initiatives, proofs of concept, OKR execution, and the adoption of AI-enabled engineering tools with appropriate controls.

Requirements

  • 2+ years of experience in security engineering, platform engineering, DevOps, SRE, or production software engineering.
  • Strong programming or scripting skills in Go, Python, Bash, or similar languages.
  • Hands-on experience with code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement.
  • Understanding of vulnerability management, dependency management, and security controls in software delivery workflows.
  • Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code.
  • Experience with AI-assisted engineering or security tools, including LLM APIs, agent-based workflows, or AI-assisted coding tools, plus awareness of data leakage, prompt injection, shadow AI, and enterprise AI policies.

Nice to have

  • Exposure to SOC 2 or similar compliance-driven environments.
  • Experience supporting AI-assisted or internally built security automation.
  • Experience balancing security risk reduction with engineering velocity.

Culture & Benefits

  • Work-from-anywhere culture within the United States.
  • Distributed environment with a presence in 30 countries and offices across more than five continents.
  • Core values include openness, determination, individuality, and collaboration.
  • Career development, learning, and community-building opportunities.

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