Cybersecurity GRC Engineer
Listed on 2026-01-11
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IT/Tech
Cybersecurity, Data Security
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
The RoleAs a Cybersecurity GRC Engineer, you will have a rare opportunity as a cybersecurity and Governance, Risk, and Compliance (GRC) subject matter expert and top-tier engineer to not only drive compliance, but to build the technology that will shape our organization's security posture, and to establish yourself as a thought leader in both the cybersecurity and GRC industries. You will report directly to the Director of Cybersecurity Governance, Risk, and Compliance, and work closely with the Cybersecurity team, IT, Engineering / Developers, Legal, and additional stakeholder teams to drive innovative solutions for automating and enhancing security governance, risk, and compliance processes, and embed and integrate security risk and compliance across enterprise-wide processes, including development, change management, and third-party risk management.
The Cybersecurity GRC Engineer will support the design, implementation, and ongoing evolution of a ’Compliance ‑ as ‑ Code’ program that translates security industry and regulatory requirements into automated, testable policies across cloud, infrastructure, and application layers. You will also be responsible for building real ‑ time compliance dashboards and reporting that give leadership clear visibility into the organization’s security risk posture.
Proficiency with AI tools (LLMs, prompt engineering, generative ‑ AI workflows) is a core requirement –you’ll use AI to streamline policy creation and implementation, evidence generation, and remediation suggestions. Experience with designing and implementing autonomous ’agentic AI’ solutions is preferred.
Responsibilities- Automation of Manual GRC Processes
- Understand, Automate, and Enhance currently manual GRC activities (e.g. risk ‑ assessment questionnaires, risk register, control ‑ evidence collection, audit ‑ readiness, supplier management, exception handling, etc.).
- Leverage generative AI and automation to prepare security questionnaire responses and evidence, synthesize findings, and propose remediation actions while embedding required human ‑ in ‑ the ‑ loop approvals.
- Integrate automated workflows across toolsets, CI/CD pipelines, and ticketing systems to create a single source of truth.
- Define success metrics (time saved, error reduction, audit ‑ readiness score) and continuously monitor, refine, and report on the automation’s impact.
- Engineer and automate security controls across infrastructure, cloud, and SaaS systems to strengthen our control environment and streamline evidence collection
- Build reusable IaC modules that enforce security baselines and continuously verify compliance.
- Embed compliance checks into CI/CD pipelines (e.g., Git Hub Actions, Jenkins).
- Design environments where evidence is produced automatically.
- Design environments that cannot operate any other way than in‑compliance with controls.
- Develop automated remediation playbooks and ’push‑button’ routines to address suspected policy violations.
- Collaborate with cross‑functional teams to ensure new projects and systems are designed with security and compliance embedded / integrated.
- Support internal and external audits by providing documentation, evidence, and responses to audit findings.
- Implement,…
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