Senior AI Security Systems Engineer - Trust & Attestation

Ernst & Young Oman; Tucson (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Hybrid work model

Job summary

EY is seeking an AI Systems Engineer to own security fabric across EY's AI-native platform, spanning identity, secrets, attestation, and cryptographic lifecycle. You will enable trusted workloads in cloud, on-prem, edge, and air-gapped environments, ensuring verifiable identities, zero-sprawl credentials, and auditable deployments.

You'll partner with Enterprise Security, Cloud Platform, and SRE to meet compliance and enterprise trust standards, contributing to a secure, regulated workload

Qualifications

• Bachelor's or Master's degree in Computer Science, Security, or related 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 with TEEs and secure boot.
• Establish platform-wide identity model for verifiable identities across telemetry and policy enforcement.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry with no credential sprawl.
• Enforce attestation policy for trusted nodes, enclaves, and workloads, with audit evidence.
• Partner with Enterprise Security / Cloud Platform / SRE for enterprise trust standards and audit readiness.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Attestation

Audit readiness

Cross-environment deployment

Communication

Regulatory compliance

Education

Bachelor's/Master's in CS/Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao

cert-manager

TDX/SEV-SNP/SGX/TrustZone

NVIDIA DOCA

Job description

EY is seeking an AI Systems Engineer to own security fabric across EY's AI-native platform, spanning identity, secrets, attestation, and cryptographic lifecycle. You will enable trusted workloads in cloud, on-prem, edge, and air-gapped environments, ensuring verifiable identities, zero-sprawl credentials, and auditable deployments.

You'll partner with Enterprise Security, Cloud Platform, and SRE to meet compliance and enterprise trust standards, contributing to a secure, regulated workload