Senior AI Trust & Secure Execution Engineer

Ernst & Young Oman

McLean (VA)

Hybrid

USD 107,000 - 177,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Total Rewards package
Generous vacation policy

Job summary

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, covering identity, secrets, cryptography and attestation to ensure workloads deploy securely.

You will drive workload identity, cryptographic lifecycle, and attestation policy across cloud, on-prem, edge, and air-gapped environments, collaborating with security, platform, and SRE teams to maintain regulatory compliance and audit readiness.

Qualifications

  • Bachelor's or Master's in Computer Science, Security, or related field or equivalent experience.
  • 8+ years in security engineering, identity/PKI, or trust infrastructure with hands-on ownership.
  • Deep expertise with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets management (OpenBao/Vault).
  • Strong PKI knowledge and X.509 certificate lifecycle management (cert-manager).
  • Experience with confidential compute and hardware attestation (TDX/SEV-SNP/SGX/NVIDIA CC) and secure boot.

Responsibilities

  • Own workload identity and secrets management across environments.
  • Build confidential compute environments and attestation capabilities.
  • Establish platform-wide identity model and verifiable identities across workloads.
  • Manage cryptographic lifecycle: issuance, rotation, revocation, expiry.
  • Enforce attestation policy for trusted nodes, enclaves, and workloads.
  • Collaborate with Enterprise Security / Cloud Platform / SRE for audit readiness.

Skills

workload identity
secrets management
PKI
cryptographic lifecycle
trusted execution environments
attestation
auditability
cloud
on-prem
security mindset

Education

Bachelor's or Master's in CS or security

Tools

SPIRE/SPIFFE
Keycloak/Entra ID
OpenBao/Vault
cert-manager
X.509 lifecycle

Job description

EY seeks an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, covering identity, secrets, cryptography and attestation to ensure workloads deploy securely.

You will drive workload identity, cryptographic lifecycle, and attestation policy across cloud, on-prem, edge, and air-gapped environments, collaborating with security, platform, and SRE teams to maintain regulatory compliance and audit readiness.

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