DevSecOps Engineer (AI Platform)

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Join a forward-thinking organization driving enterprise-wide AI transformation through a modern AI and Data Analytics platform. As a DevSecOps Engineer, you will play a critical role in building secure, automated, and scalable software delivery pipelines while integrating Generative AI into the development lifecycle. You will work alongside platform engineering, cybersecurity, and IT teams to ensure security is embedded throughout the software development process. Key Responsibilities Design, build, and maintain secure CI/CD pipelines to automate application build, testing, and deployment processes. Integrate Generative AI tools into the software development lifecycle to improve developer productivity and code quality. Implement security-by-design practices across development, testing, release, and deployment workflows. Automate secrets management, vulnerability scanning, policy enforcement, and compliance validation within CI/CD pipelines. Manage secure artifact repositories and container registries while ensuring platform integrity and governance. Collaborate with Platform Engineering, Cybersecurity, and IT teams to deliver secure, scalable, and reliable deployment processes. Support security compliance, governance initiatives, audit activities, and operational readiness for enterprise platforms. Provide DevSecOps best practices, security guidance, and contribute to incident response, monitoring, and deployment automation. Key Requirements Bachelor's Degree in Computer Science, Information Security, Engineering, or a related discipline. 1–3 years of experience in DevOps, Cloud Engineering, or Cybersecurity, with at least 1 year focused on DevSecOps. Hands-on experience with CI/CD platforms such as GitLab, Azure DevOps, Atlassian, or similar DevOps toolchains. Good understanding of cloud security, networking, identity and access management, and hybrid cloud environments. Experience with secure software development lifecycle (SSDLC), DevSecOps practices, and application security principles. Exposure to Generative AI developer tools (e.g., GitHub Copilot) and AI-assisted software development workflows. Strong problem-solving, analytical, communication, and stakeholder management skills. Self-driven individual with the ability to work collaboratively in a fast-paced, agile environment. Originally posted on Himalayas

加入一个具有前瞻性思维的组织，通过现代化的AI和数据分析平台推动企业范围的AI转型。作为DevSecOps工程师，您将在构建安全、自动化和可扩展的软件交付管道方面发挥关键作用，同时将生成式AI集成到开发生命周期中。您将与平台工程、网络安全和IT团队紧密合作，确保安全贯穿整个软件开发过程。

主要职责

设计、构建和维护安全的CI/CD管道，以自动化应用构建、测试和部署流程。
将生成式AI工具集成到软件开发生命周期中，以提高开发者生产力和代码质量。
在开发、测试、发布和部署工作流中实施安全设计实践。
在CI/CD管道中自动化密钥管理、漏洞扫描、策略执行和合规验证。
管理安全的制品仓库和容器注册表，同时确保平台完整性和治理。
与平台工程、网络安全和IT团队协作，交付安全、可扩展且可靠的部署流程。
支持企业平台的安全合规、治理举措、审计活动和运营准备。
提供DevSecOps最佳实践、安全指导，并参与事件响应、监控和部署自动化。

关键要求

计算机科学、信息安全、工程或相关专业学士学位。
1–3年DevOps、云工程或网络安全经验，其中至少1年专注于DevSecOps。
具有CI/CD平台的实操经验，如GitLab、Azure DevOps、Atlassian或类似的DevOps工具链。
对云安全、网络、身份与访问管理以及混合云环境有良好理解。
具有安全软件开发生命周期（SSDLC）、DevSecOps实践和应用安全原则的经验。
接触过生成式AI开发者工具（如GitHub Copilot）和AI辅助软件开发工作流。
较强的问题解决、分析、沟通和利益相关者管理能力。
自我驱动，能够在快节奏、敏捷的环境中协作工作。

原发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准