Senior AI Security & Identity Engineer

Ernst & Young Oman; Trenton (NJ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Paid time off

Job summary

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform, spanning identity, secrets, cryptography, and attestation to enable trusted deployments across cloud, on‑prem, edge, and air‑gapped environments.

You will lead the platform‑wide identity model, manage cryptographic lifecycle, and enforce attestation and auditability while collaborating with Enterprise Security, Cloud Platform, and SRE in regulated client contexts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Security, or related field.
• 8+ years in security engineering, identity/PKI, or trust infrastructure.
• Hands-on experience with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets management (OpenBao/Vault).
• Strong grounding in PKI, X.509 certificate lifecycle (cert-manager), key management, and transit encryption.
• Working experience with confidential compute and hardware attestation (TDX, SEV‑SNP, SGX, NVIDIA CC, or equivalents) and secure boot (Intel TXT).
• Experience delivering identity and secrets consistently across multi‑tenant, multi-environment (cloud/on‑prem/edge/air‑gapped) platforms.
• Proven track record operating under compliance, security, or regulatory constraints with audit‑grade evidence requirements.
• Ability to define clean ownership boundaries and consumption contracts with platform, data, and runtime teams.

Responsibilities

• Own workload identity and secrets management: SPIRE/ODIS, Keycloak/Entra ID (IAM), OpenBao (secrets store), cert-manager (X.509 lifecycle).
• Build confidential compute environments: TEE (TDX/SEV‑SNP/SGX/TrustZone/CCA/NVIDIA CC) and secure boot architectures.
• Establish the platform‑wide identity model with verifiable, propagated identity across telemetry, cost attribution, and policy enforcement.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates and keys across tenants.
• Enforce attestation policy: which nodes, enclaves, and workloads are trusted with auditable evidence.
• Partner with Enterprise Security / Cloud Platform / SRE to ensure compliance, auditability, and governance in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Trusted execution environments

Auditability

Security architecture

Cloud/edge/on‑prem

Compliance & audit

Education

Bachelor’s or Master’s degree in CS/Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

TDX/SEV‑SNP/SGX

Intel TXT

DOCA

Job description

EY is seeking AI Systems Engineers to own the security and trust fabric of EY’s AI-native platform, spanning identity, secrets, cryptography, and attestation to enable trusted deployments across cloud, on‑prem, edge, and air‑gapped environments.

You will lead the platform‑wide identity model, manage cryptographic lifecycle, and enforce attestation and auditability while collaborating with Enterprise Security, Cloud Platform, and SRE in regulated client contexts.