Senior AI Security & Attestation Engineer

EY

Portland (OR)

Hybrid

USD 107,000 - 177,000

Full time

9 days ago
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Benefits offered by this job

Hybrid work model
Total rewards package
Paid time off

Job summary

EY seeks an AI Systems Engineer to own the security and trust fabric of EY’s AI-native platform, spanning identity, secrets, attestation and cryptographic lifecycle across cloud, on-prem, edge and air‑gapped environments.

You will drive workload identity, manage PKI and confidential compute, and ensure audit-ready, compliant security in regulated client contexts with a hybrid work model.

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 across environments.
  • Build confidential compute environments for attestation and audit-readiness.
  • Establish platform‑wide identity model flowing through telemetry and policy enforcement.
  • Manage cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates/keys.
  • Enforce attestation policy for nodes, enclaves, and workloads.
  • Collaborate with Enterprise Security / Cloud Platform / SRE for audit readiness in regulated contexts.

Skills

Workload identity
Secrets management
PKI
Cryptographic lifecycle
Confidential compute
Trusted execution environments
Attestation
Auditability
Cross-environment ownership

Education

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

Tools

SPIRE/SPIFFE
Keycloak/Entra ID
OpenBao
cert-manager
TDX/SEV-SNP/SGX/TrustZone
DOCA

Job description

EY seeks an AI Systems Engineer to own the security and trust fabric of EY’s AI-native platform, spanning identity, secrets, attestation and cryptographic lifecycle across cloud, on-prem, edge and air‑gapped environments.

You will drive workload identity, manage PKI and confidential compute, and ensure audit-ready, compliant security in regulated client contexts with a hybrid work model.

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