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Open nowPosted 102 days ago

应用安全工程师

dcar/referral674 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now应用安全工程师dcar/referral · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 102 days ago

The posting

1、常态化开展全品类安全测试工作:包含业务上线安全准入测试、周期性例行安全巡检、Web 渗透测试、移动端 APP 安全检测,输出标准化安全测试报告并跟进风险闭环; 2、安全事件全流程应急响应:负责漏洞告警研判、入侵溯源分析、故障止损处置、事后复盘整改,沉淀应急处置预案与安全运营经验; 3、持续跟踪国内外高危漏洞、系统补丁、行业安全预警,针对业务场景输出可落地修复方案,联动研发、运维、产品等多部门推动漏洞修复、风险加固与复测验收; 4、负责 AI 安全体系落地与工程化建设:探索 AI 赋能安全检测能力,落地 AI 辅助黑白盒自动化检测方案,搭建智能化安全测试流水线,落地大模型自身安全风险管控、AI 应用安全防护相关实践。

1、扎实掌握 Web、移动端 APP、服务器系统主流安全漏洞底层原理、攻击利用链路,具备独立风险评估、加固方案设计能力,熟悉 OWASP Top10、移动安全风险、内核 / 中间件安全风险体系; 2、具备代码白盒审计能力,可独立完成 Java、Go、Python、Node.js、PHP 主流开发语言代码审计,能精准定位代码层安全缺陷并给出修复建议; 3、具备较强安全项目推进意识,工作主动细致、抗压性强,拥有优秀跨部门沟通协调能力,善于对齐多方需求推动安全整改落地,具备良好团队协作意识; 加分项: 4、有自动化安全工具开发、CI/CD 安全左移落地经验,能基于 AI 框架搭建自动化扫描、漏洞识别工具; 5、了解大模型安全、AI 应用安全风险(提示注入、数据泄露、模型投毒等),有 AI 安全落地实践优先。

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