08 Sep
|
Ford Motor
|
Chennai
08 Sep
Ford Motor
Chennai
Job ID
- 61254
- Category
- Ford Credit Services
- Location
- Chennai, India
- Work Type
- Hybrid
Job Title: Cloud-Native Security & AI Architect (GCP / Zero Trust) Location: Hybrid — Dearborn, MI or Fully Remote (US based) Team: Ford Credit Enterprise Architecture
About the Role: Ford Credit is accelerating its transition to a Zero-Trust security model on Google Cloud Platform (GCP) and maturing their enterprise cloud security patterns. They are seeking a Cloud-Native Security & AI Architect to guide on-prem workload migrations into a secure, well-architected GCP environment, while also shaping their approach to secure and effective AI enablement (with a focus on agentic patterns in the SDLC). This role will help establish practical reference architectures, answering various “How do I do X securely?” questions from internal teams, driving clarity where standards are still emerging.
What Success Looks Like (6-12 Months):
- Documented, adopted reference architectures and patterns for Zero Trust on GCP.
- Reduced critical security gaps across migrated workloads; measurable maturity lift (e.g., from 1/5 toward 3/5).
- Repeatable Apigee patterns established; known gaps documented with remediation backlog and owners.
- Teams self-serve with “How to do X securely?” guides; faster decision cycles and fewer escalations.
- Safe, pragmatic AI enablement patterns integrated into SDLC with clear guardrails and logging.
- Established security governance frameworks and stage-gates with both automation and human-in-the-loop processes.
Tools & Ecosystem: GCP (IAM, Workload Identity, VPC, SCC, Cloud Armor, Secret Manager, Logging/Monitoring, GKE/Cloud Run, Build/Artifact), Apigee, GitHub, JIRA, Confluence, Vault (as applicable), Terraform (nice to have).
Zero-Trust Cloud Security Architecture (GCP) - primary focus
- Define and mature security architecture patterns and reference architectures for cloud-native workloads on GCP.
- Conduct gap analyses and recommend remediations to r
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