AI Security & Identity Systems Engineer

EY; Dallas (TX); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) and pension plan

Paid time off and holidays

Job summary

EY seeks an AI Systems Engineer to govern the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will own workload identity, secrets management, PKI, and attestation across multiple environments to ensure auditable and trusted deployments.

The role collaborates with Enterprise Security, Cloud Platform, and SRE to maintain compliance and audit readiness for regulated client contexts, delivering platform-enforced trust and privacy

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, PKI).
• Build confidential compute environments (TEE, secure boot, secure DPU) for isolated, attestable workloads.
• Establish a platform-wide identity model propagating verifiable identities end-to-end.
• Manage cryptographic lifecycle: issuance, rotation, revocation, expiry of certificates/keys/roots.
• Enforce attestation policy for nodes, enclaves, and workloads with audit-ready evidence.
• Partner with Enterprise Security/Cloud Platform/SRE for audit readiness in regulated contexts.

Skills

Workload identity

Secrets management

PKI

Confidential compute

Attestation

Education

Bachelor’s or Master’s in CS/Security

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager (X.509)

DOCA/TDX/SEV-SNP/SGX

Job description

EY seeks an AI Systems Engineer to govern the security and trust fabric of EY's AI-native platform, spanning cloud, on-prem, edge, and air-gapped environments. You will own workload identity, secrets management, PKI, and attestation across multiple environments to ensure auditable and trusted deployments.

The role collaborates with Enterprise Security, Cloud Platform, and SRE to maintain compliance and audit readiness for regulated client contexts, delivering platform-enforced trust and privacy