Plaid
Security Engineer, GRC
$156K–$214K
Remote United States +2 · Remote · Full-time · Posted Jul 16, 2026
- Location
- Remote United States
Seattle Office
New York City Office
About the job
Own and build Plaid’s GRC Engineering capability, turning manual compliance, risk, and audit work into continuous, automated systems and evidence.
What you'll do
- Build a version-controlled source of truth and live pipelines for controls, policies, framework mappings, and evidence; automate continuous control monitoring and detection.
- Develop dashboards and SQL reporting for risk signals, conduct risk assessments, and automate recurring GRC operational work.
- Embed compliance checks and AI-assisted workflows into engineering processes and advance machine-readable continuous compliance.
What they ask for
- Strong Python and SQL, API/webhook integration experience, and ownership of an internal tool or service end to end.
- Hands-on AWS and cloud-native security controls experience, including querying cloud, GitHub, and SaaS logs; dashboarding/data-visualization proficiency.
- Experience building continuous controls monitoring and modeling controls and framework mappings as structured, version-controlled data.
- Hands-on Terraform and policy-as-code (OPA/Rego, Sentinel), CI/CD compliance checks, working knowledge of SOC 2, ISO 27001/27701, and NIST CSF/800-53, and demonstrated ability to build and scale agentic/AI-assisted workflows.
Nice to have
- Direct experience with FedRAMP, FedRAMP 20x, or other public-sector/continuous-compliance authorizations; experience with compliance automation platforms.
- Exposure to incident response and triage, or experience in fintech/financial services; a related degree is also listed as nice to have.
Pay
$156K – $213.6K (base salary; currency not stated)
Tools
Python, SQL, AWS, GitHub, Terraform, OPA/Rego, Sentinel, Claude
AI focus
Build and scale agentic/AI-assisted workflows, embed compliance checks into CI/CD, and prototype self-healing policies reconciled against live infrastructure.
Model-written summary · the original posting is authoritative