$ cat jobs/staff-engineer-ai-security-and-devsecops-nagarro1-fbd67802d475.json
Staff Engineer (AI Security and DevSecOps )
👋🏼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 : 5.5+ yrs Strong experience in DevOps, DevSecOps, Cloud Infrastructure, or AI/ML Security engineering. Strong experience in Machine Learning environments, securing ML pipelines, or LLM-powered applications. Hands-on experience building and securing unstructured data pipelines for AI/ML workloads. Proficiency in Python and Bash scripting for automation, infrastructure management, and security tooling. Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi. Strong understanding of cloud platforms including AWS, Azure, or GCP and cloud security best practices. Experience implementing security controls across CI/CD pipelines, including SAST, DAST, dependency scanning, and secrets management. Solid understanding of OWASP security principles, Zero Trust architecture, and secrets management solutions such as HashiCorp Vault or AWS Secrets Manager. Experience implementing AI security controls, including prompt injection mitigation, input/output filtering, abuse detection, and secure LLM integrations. Knowledge of AI/ML security risks such as model inversion, data poisoning, prompt injection, and adversarial attacks. Familiarity with data privacy regulations such as GDPR, CCPA, HIPAA, and compliance frameworks including SOC 2, ISO 27001, or NIST AI RMF. Experience implementing data classification, lineage tracking, PII detection, anonymization, and retention policies. Knowledge of Kubernetes, container security, and cloud-native infrastructure hardening. Experience building observabilit
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