AI Security Engineer - Infrastructure Cloud
Emergent Labs8 days ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design sandboxing and isolation strategies for untrusted code execution across compute, network, and storage layers.
- Prevent container escapes, privilege escalation, lateral movement, malicious workloads, and data exfiltration.
- Own cloud security architecture across AWS and GCP, including IAM, VPCs, secrets, workloads, zero-trust systems, and secure service-to-service communication.
- Build runtime detection systems and integrate logging, SIEM, and real-time alerting.
- Secure build systems, deployment pipelines, and AI agent pipelines against supply-chain attacks while ensuring artifact integrity.
Requirements
- Require 6 to 12 years of experience in cloud or infrastructure security.
- Require deep experience with AWS or GCP, Kubernetes, containers, IAM, and secrets management.
- Require strong understanding of container security, network security, and runtime protection.
- Experience with sandboxed execution environments, serverless or ephemeral compute, and high-scale multi-tenant systems is an advantage.
Benefits
- Lunch and dinner are provided daily.
- Family insurance provides 5 Lakhs of coverage for the employee and family.
- Unlimited paid time off is offered.
- Flexible working hours are available.
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