AI Security Systems Engineer: Trust & Attestation

EY; Woodbridge Township (NJ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package (health, pension

Generous leave

Job summary

EY invites an AI Systems Engineer to own the security and trust fabric for EY’s AI-native platform, spanning identity, secrets, cryptography, and attestation. You will ensure workloads are identity-bound, secrets protected, and deployments auditable across cloud, on‑prem, edge, and air‑gapped environments.

You’ll collaborate with Enterprise Security / Cloud Platform / SRE to align with enterprise trust standards, with a hybrid US-wide model and a generous Total Rewards package.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Security, or related field.
• 8+ years in security engineering, identity/PKI, or trust infrastructure with hands-on ownership.
• Deep, hands-on expertise with workload identity (SPIRE/SPIFFE), IAM (Keycloak/Entra ID), and secrets management.
• 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 across environments.
• Build confidential compute environments and attestation capabilities.
• Establish platform-wide identity model across telemetry and policy enforcement end-to-end.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates/keys.
• Enforce attestation policy and capture evidence for audit.
• Partner with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Confidential compute

Attestation

Multi-environment

Auditability

Security mindset

Strong communicator

Education

Bachelor’s/Master’s in CS or Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

TDX/SEV-SNP/SGX

NVIDIA DOCA

Job description

EY invites an AI Systems Engineer to own the security and trust fabric for EY’s AI-native platform, spanning identity, secrets, cryptography, and attestation. You will ensure workloads are identity-bound, secrets protected, and deployments auditable across cloud, on‑prem, edge, and air‑gapped environments.

You’ll collaborate with Enterprise Security / Cloud Platform / SRE to align with enterprise trust standards, with a hybrid US-wide model and a generous Total Rewards package.