Summary
What you’ll impact
The Senior GRC Engineer designs, builds, and operates the evidence and controls platform that automates compliance verification for AI‑driven legal products. The role uses Python, cloud APIs, identity providers, HRIS, source‑control, CI/CD pipelines, and Terraform to create data pipelines and a unified controls library. Responsibilities include ingesting control and asset data, generating live dashboards and audit‑ready evidence, and converting policies into automated checks and agentic workflows. The engineer works closely with the GRC Lead and engineering teams, ensuring continuous assurance monitoring and documenting evidence for auditors.
Responsibilities
What you'll do
- Build the platform assurance program runs on: pipelines that collect evidence continuously, checks that enforce policy in CI/CD, and agents that test controls and draft audit responses.
- Sit in the Security organization and work daily with the GRC Lead, Engineering, and Corporate Security.
- Build the pipelines and integrations that aggregate control, asset, and identity data across our stack (cloud, IdP, HRIS, source control, CI/CD) and turn it into automated checks, live dashboards, and audit evidence.
- Implement the unified controls library so one control satisfies many frameworks, with evidence collected once and mapped everywhere.
- Ingest from what partners already own — technical controls, the SaaS portfolio’s system of record — rather than building parallel collectors; system owners keep their evidence, your platform makes it audit-ready.
- Build the technical evidence base for AI certifications (ISO/IEC 42001 and emerging AI-agent assurance standards): agent action logging, evaluation evidence, tool-call restrictions, and failure-mode documentation, working with Product and Engineering.
- Translate written policies and regulatory requirements into enforceable rules: automated checks in CI/CD and infrastructure deployment, continuous controls monitoring, and drift alerts routed to owners.
- Instrument control effectiveness so the GRC Lead reports risk posture from live data.
- Design and run agentic workflows for evidence analysis, control testing, and audit response preparation, with a human in the loop where assurance demands it. Anything manual twice a quarter gets automated.
Requirements
What you’ll bring
- 6-8+ years spanning software or automation engineering and security compliance — an engineer who learned GRC, or a GRC operator who became a builder.
- Production‑grade scripting (Python or similar) against APIs — code you ship and own.
- Hands‑on experience building LLM/agent workflows and daily use of AI in your own work, with grounded judgment on what to delegate to agents, what needs a human, and how to evidence both to an auditor.
- Enough GRC domain fluency to work inside SOC 2 / ISO 27001 control language and know what an auditor will accept as evidence.
- Clear technical writing — your evidence and documentation will be read by auditors and customer security teams.