Senior Secure AI Platform Engineer — Identity & Attestation

Ernst & Young Oman; Salem (OR); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work/Remote-friendly policy

Total rewards package including health

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

You will own the enforcement mechanisms to prove workloads are identity‑bound, secrets protected, and deployments auditable, enabling regulated client contexts and secure, auditable AI workloads.

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 (SPIRE/ODIS, Keycloak/Entra ID, OpenBao, cert-manager).
• Build confidential compute environments (TEE, Intel TXT) to keep workloads isolated, attestable and auditable.
• Define platform-wide identity model for verifiable workloads through telemetry and policy enforcement.
• Manage cryptographic lifecycle: certificates, keys, and roots with zero manual secrets sprawl.
• Enforce attestation policy for nodes, enclaves, and workloads with evidence capture for audit.
• Collaborate with Enterprise Security, Cloud Platform, and SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Auditability & compliance

Education

Bachelor’s or Master’s degree in Computer Science, Security, or related field

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager (X.509 lifecycle)

TDX/SEV-SNP/SGX/TrustZone

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

You will own the enforcement mechanisms to prove workloads are identity‑bound, secrets protected, and deployments auditable, enabling regulated client contexts and secure, auditable AI workloads.