AI Security Systems Engineer: Trusted Compute & Attestation

EY; New York (NY); Hybrid; USD 128,000 - 201,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will enforce identity, secrets, and attestation, ensuring workloads are verifiably trusted and auditable across tenants.

The role requires 8+ years in security engineering, hands-on experience with SPIRE/SPIFFE, PKI, and confidential compute, and offers a hybrid work model with competitive compensation in the US market.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Security, or related technical field, or equivalent experience.
• 8+ years in security engineering, identity/PKI, or trust infrastructure with hands-on production ownership.
• Deep, hands-on expertise 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.
• 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 across multi-tenant, multi-environment platforms.
• Proven track record operating under compliance, security, or regulatory constraints with audit-grade evidence.

Responsibilities

• Own workload identity and secrets management across environments (SPIRE/ODIS, Keycloak/Entra ID, OpenBao, cert-manager).
• Build confidential compute environments with trusted hardware and attestation for audit-ready deployments.
• Establish a platform-wide identity model propagating identity through telemetry, cost attribution, and policy.
• Manage cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates and keys.
• Enforce attestation policy for nodes, enclaves, and workloads with boot-time and runtime proofs.
• Collaborate with Enterprise Security / Cloud Platform / SRE to ensure audit readiness in regulated contexts.

Job description

EY is seeking an AI Systems Engineer to own the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will enforce identity, secrets, and attestation, ensuring workloads are verifiably trusted and auditable across tenants.

The role requires 8+ years in security engineering, hands-on experience with SPIRE/SPIFFE, PKI, and confidential compute, and offers a hybrid work model with competitive compensation in the US market.