Senior AI Security Systems Engineer: Trust & Attestation

EY; Akron (OH); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation & benefits

Job summary

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

You will drive workload identity, cryptographic lifecycle, and attestation policy, partnering with security, platform, and SRE teams to ensure audit-ready, compliant workloads. EY offers a hybrid model and strong rewards.

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: SPIRE/ODIS, Keycloak/Entra ID (IAM), OpenBao (secrets store), cert-manager (X.509 lifecycle), PKI issuers/roots, and transit encryption.
• Build confidential compute environments with TDX/SEV‑SNP/SGX/TrustZone, Intel TXT boot security, and secure DPU architecture (DOCA).
• Establish the platform‑wide identity model so every workload, agent, and service carries a verifiable identity across telemetry and policy enforcement.
• Own the cryptographic lifecycle: issuance, rotation, revocation, and expiry with zero manual, untracked secrets and no credential sprawl.
• Enforce attestation policy: which nodes/enclaves/workloads are trusted and how evidence is captured for audit.
• Partner with Enterprise Security / Cloud Platform / SRE to ensure audit readiness in regulated client contexts.

Skills

Workload identity

Secrets management

PKI

Cryptographic lifecycle

Confidential compute

Attestation

Multi-environment deployments

Security engineering

Communication with engineers/auditors

Education

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

Tools

SPIRE/SPIFFE

Keycloak/Entra ID

OpenBao/Vault

cert-manager

X.509 lifecycle management

DOCA / confidential compute

Intel TDX / SGX / SEV‑SNP

Job description

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

You will drive workload identity, cryptographic lifecycle, and attestation policy, partnering with security, platform, and SRE teams to ensure audit-ready, compliant workloads. EY offers a hybrid model and strong rewards.