AI Security & Trust Platform Engineer

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

Benefits offered by this job

Hybrid work model

Total Rewards package including health

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 across cloud, on‑prem, edge, and air‑gapped environments.

You will implement workload identity, manage cryptographic lifecycles, enforce attestation policies, and collaborate with Enterprise Security and SRE to ensure auditability in regulated client contexts.

EY offers hybrid work, a strong Total Rewards package, and ongoing development.

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.
• 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), PKI issuers/roots, and transit encryption across every environment and tenant.
• Build confidential compute environments: TEE (TDX/SEV‑SNP/SGX/TrustZone/CCA/NVIDIA CC), Intel TXT boot security, and secure DPU architecture (DOCA), so environments are isolated, attestable, and audit-ready.
• Establish the platform‑wide identity model so every workload, agent, and service carries a verifiable, propagated identity through telemetry, cost attribution, and policy enforcement end‑to‑end.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry of certificates, keys, and roots, with zero manual secrets and no long‑lived credential sprawl across tenants.
• Enforce attestation policy: which nodes, enclaves, and workloads are trusted, how trust is proven at boot and runtime, and how attestation evidence is captured for audit.
• Partner on a dotted‑line basis with Enterprise Security / Cloud Platform / SRE to ensure independent review, alignment to enterprise trust standards, and audit readiness in regulated client contexts.

Skills

Workload identity & secrets mgmt

PKI & crypto lifecycle

Confidential compute & TEEs

Attestation & remote attestation

Multi‑env architectures (cloud/on‑prem

Education

Bachelor’s or Master’s in CS/Security or related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao

cert-manager

X.509 lifecycle

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 across cloud, on‑prem, edge, and air‑gapped environments.

You will implement workload identity, manage cryptographic lifecycles, enforce attestation policies, and collaborate with Enterprise Security and SRE to ensure auditability in regulated client contexts.

EY offers hybrid work, a strong Total Rewards package, and ongoing development.