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Ford Motor Company

Security Risk Engineer

Posted an hour ago
5-10 years experience
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AI Summary

The Security Risk Engineer will design and implement technical risk solutions, including automation and architecture, to reduce operational and cyber risks. They will also partner with cross-functional teams to embed security controls and support audit engagements through evidence gathering and control testing.

We are looking for a Security Engineer with strong technical acumen who can immediately design, prioritize, and implement risk-reducing technical solutions across complex cloud and enterprise environments. This role emphasizes solution engineering over process engineering — using established information security frameworks, policies, and controls as direct inputs to build practical, automatable, and scalable technical safeguards.

The ideal candidate thinks like an engineer first and a security risk professional second: someone who already understands how systems fail, how controls are enforced through code and architecture, and how risk and compliance intent translate into resilient technical designs — without requiring extended ramp-up time on RAC fundamentals.

Responsibilities

Key Responsibilities

  • Engineer technical risk solutions that reduce operational, cyber, and resilience risk through architecture, automation, and control design — starting on day one with minimal onboarding.

  • Translate risk requirements, policies, and standards into implementable technical patterns, guardrails, and reference architectures.

  • Prioritize and influence solution design decisions based on risk impact, blast radius, and recovery dependencies.

  • Partner with platform, cloud, security, and SRE teams to embed risk controls directly into infrastructure and pipelines.

  • Evaluate control effectiveness using technical signals and evidence, not just procedural compliance checklists.

  • Independently support the requirements of internal control, internal audit, and external audit engagements, including evidence gathering, control testing, and remediation tracking.

  • Deploy and manage security software, assess and apply required security patches on Security Appliances (servers).

  • Support the Security Appliances 24x7 on-call rotation to enable continuous data collection.

  • Drive initiatives such as secure cloud architecture, isolated recovery environments, identity and access hardening, and infrastructure resilience.

  • Provide informed, immediate guidance on risk tradeoffs and compliance requirements to engineering and business stakeholders.

  • Contribute to lightweight process definition where needed, always in service of enabling better technical and audit outcomes.

 

Required Technical Skills

  • Risk, Audit & Compliance Frameworks: Direct working experience with frameworks such as NIST, ISO 27001, SOX, PCI-DSS, or similar, and demonstrated ability to map controls to technical implementations.

  • Data Analytics: Proficiency with GCP BigQuery, Power BI (or similar) for visualizing risk posture and audit evidence.

  • Configuration Management / Automation: Ansible, REST API, Terraform.

  • Programming / Scripting: Python, Linux Bash, Windows PowerShell, SQL.

  • Cloud Platforms: Google Cloud Platform (GCP), Azure, AWS.

  • Supporting Knowledge (nice to have): 

    • Cloud IAM, networking, and control planes

    • CI/CD pipelines and policy-as-code

    • Familiarity with Agentic AI frameworks

    • Observability, logging, and evidence automation

    • Backup, recovery, and resilience architectures

Qualifications

Required Qualifications

  • 7+ years of experience in security engineering, platform engineering, SRE, or technical risk roles, with a significant portion spent directly supporting risk, audit, or compliance functions.

  • Demonstrated, ready-to-apply experience with audit lifecycles, control testing, and compliance evidence collection — able to engage with auditors and risk stakeholders immediately without extensive training.

  • Proven ability to design and influence technical solutions across teams.

  • Strong understanding of how risk manifests in distributed systems, cloud platforms, and automation.

  • Comfortable operating at the intersection of engineering teams and risk/compliance stakeholders.

  • Ability to explain complex technical risk concepts to non-technical audiences without losing fidelity.

  • Experience in production support and troubleshooting.

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