Employer description & source details
Design, build, and implement tools for AI security testing, penetration testing, red teaming, and continuous vulnerability assessment. Develop mock and test AI applications to evaluate internal and third-party AI security solutions. Identify and assess security risks within AI-enabled applications and workflows. Develop security requirements, standards, and best practices for securely building and deploying AI applications. Evaluate third-party vendors, open-source tools, libraries, and AI technologies from a security perspective. Integrate security testing and evaluation capabilities into CI/CD pipelines and development workflows. Build scalable security tooling and automation that can be adopted across different teams and environments. Troubleshoot applications and solve complex engineering and security problems. Partner with engineering teams, security professionals, customers, vendors, and business stakeholders to understand requirements and deliver practical solutions. Create clear technical documentation covering tools, features, security assessments, testing methodologies, and findings. 5+ years of software development experience building and supporting production applications. Strong hands-on programming experience with Python. Experience working with RESTful APIs and structured data formats such as JSON, XML, CSV, and HTML. Experience with CI/CD pipelines and modern software development practices. Experience troubleshooting and supporting production applications. Understanding of core application security concepts, including authentication, authorization, encryption, secrets management, and secure development practices. Experience with Microsoft Azure, including foundational cloud networking and security concepts. Understanding of modern AI application architec
Extracted skills: azure, artificial intelligence, cybersecurity, security