2 часа назад
Senior Platform Engineer (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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