Nagarro
Technology
SeniorStaffEngineer(AIDeveloper-AppSec)
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“Senior Staff Engineer (AI Developer - AppSec) at Nagarro”
Industry & Context.
Full Job Description
👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Requirements * Experience : 7.5+years * Strong experience as an Application Security Engineer, Application Security Developer, or Software Engineer with strong Application Security specialization. * Strong expertise in Application Security principles, secure SDLC, secure coding practices, vulnerability assessment, and secure code review methodologies. * Deep knowledge of OWASP Top 10, CWE Top 25, common application vulnerabilities, and secure software development practices. * Hands-on experience with Application Security toolchains including SAST, DAST, SCA, IAST, and secrets scanning solutions. * Strong programming skills in Python with experience using AI/ML libraries such as Scikit-learn, PyTorch or TensorFlow, Pandas, and NumPy. * Experience building AI-powered security automation using Large Language Models (LLMs), Azure OpenAI, OpenAI APIs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures. * Experience developing intelligent code analysis, vulnerability detection, remediation recommendation, and AI-assisted security tooling. * Hands-on experience integrating security tools into CI/CD platforms such as Jenkins, GitHub Actions, and Azure DevOps. * Experience developing REST APIs and microservices using FastAPI or Flask. * Good understanding of containerization technologies such as Docker and modern Git-based development workflows. * Working knowledge of cloud platforms including Microsoft Azure, AWS, or Google Cloud Platform for deploying AI-powered security services. * Strong understanding of vu
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