Senior Security Engineer in Bangalore, भारत

Responsibilities

• Threat-model AI agent features for prompt injection, jailbreaks, data exfiltration, and over-privileged tool use.
• Design guardrails including least-privilege scopes, human approvals, output filtering, and tenant/data isolation.
• Secure the AI supply chain, including models, providers, MCP servers, connectors, prompts, and configuration.
• Run AI red-team exercises and build automated adversarial tests into CI.
• Define Kubernetes and cloud security baselines covering RBAC, network policies, workload identity, secrets, and tenant isolation.
• Implement CI/CD security controls such as IaC scanning, SAST, dependency scanning, and policy-as-code.
• Build detection and alerting for anomalous prompts, tool calls, and agent behavior.
• Partner on technical controls and evidence for SOC 2 Type II, ISO 27001, HIPAA, ISO 42001, and the NIST AI RMF.

Requirements

• 5+ years of experience in cloud security, application security, or DevSecOps.
• Deep hands-on Kubernetes and cloud security experience, with GCP or Azure preferred.
• Security automation experience with Terraform, Helm, and Python or Bash.
• Working understanding of LLM application risks, including the OWASP Top 10 for LLM Applications and agentic system failure modes.
• Ability to influence engineers without formal authority.
• Preferred experience securing LLM, RAG, or agentic systems in production.
• Preferred experience with AI red teaming, MITRE ATLAS, CNAPP/CSPM tooling, SIEM or detection engineering, AI security research, open-source tools, or CTFs.

Benefits

• Work on production agentic AI systems and make security a core product feature.
• Partner directly with Security, Compliance, Engineering, and Product leadership with substantial ownership.
• Individual-contributor culture focused on execution and impact.
• Compensation may include variable compensation, equity, and benefits depending on role eligibility.