Lumin Digital

Financial Services

RiskAutomationEngineer

$165–185k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Risk Automation Engineer at Lumin Digital. Skills: Risk Automation, Agentic Workflows, Cloud Engineering, GRC Integration. Architect automation pipelines. Build automation pipelines”

What You'll Achieve.

Risk posture visible in near real time; Risk processes self-service; Risk processes self-documenting; Reduce manual handoffs; Eliminate manual coordination

Industry & Context.

Financial Services
Problems you'll solve

Systems-thinking; Root cause analysis; Troubleshooting; Eliminate manual toil

Eligibility Requirements

Minimal travel, Lift up to 25 pounds

What They're Looking For.

Must Have

5+ years software engineering experience, 2+ years risk management experience, Python, Go, Bash experience, Infrastructure-as-code experience, AI/LLM tools experience, GRC platforms experience, Risk management frameworks knowledge, AI-assisted development tools proficiency, Python, Go, or TypeScript proficiency, Cloud platforms knowledge, Software engineering fundamentals knowledge, Systems-thinking mindset, Security data engineering concepts familiarity, Excellent written communication skills, Excellent verbal communication skills, Self-directed engineering mindset

Nice to Have

AWS Solutions Architect certification, CRISC certification, CISSP certification, Cloud/security credentials

What You'll Do.

Architect automation pipelines

Build automation pipelines

Operate automation pipelines

Design automated vendor risk management

Implement automated vendor risk management

Build risk posture dashboards

Maintain risk posture dashboards

Develop agentic AI pipelines

Engineer integrations

Eliminate procedural ambiguity

Codify risk management processes

Apply security-first engineering practices

Implement least-privilege access

Implement audit logging

Implement input validation

Implement guardrails on AI agent behavior

Introduce AI-assisted engineering practices

Evangelize AI-assisted engineering practices

How You'll Work.

Team & Collaboration

Cross-functional teams; Risk Management team; Broader Risk teams; Compliance teams

Communication Scope

Clear documentation; Runbooks; Knowledge-transfer materials

Full Job Description

## Description Basic Function Lumin Digital is looking for a Risk Automation Engineer who will fundamentally reimagine how risk management operates in a cloud-native, infrastructure-as-code environment. This role exists because traditional GRC processes (spreadsheet-driven assessments, manual remediation tracking, and documentation-heavy workflows) cannot keep pace with the velocity at which our technology evolves. The Risk Automation Engineer will design, build, and operate secure, agentic automation pipelines that handle risk and vendor lifecycle processes end-to-end, eliminating manual handoffs wherever human judgment is not required. Success in this position means Lumin’s risk posture is visible in near real time, risk processes are self-service and self-documenting, and the broader Risk Management team spends its time on strategic decisions rather than procedural coordination. This person will teach us what’s possible, not wait to be taught. Essential Functions and Responsibilities: Architect and build lights-off automation pipelines that orchestrate the full risk assessment lifecycle—from intake and scoping through evidence collection, control testing, findings generation, and remediation tracking—using AI-driven agentic workflows and tools such as Claude Code. Design and implement automated vendor risk lifecycle management, including onboarding questionnaires, periodic reassessment triggers, continuous monitoring integrations, and contract-driven offboarding workflows that require zero manual coordination for routine vendor tiers. Build and maintain near-real-time risk posture dashboards and reporting pipelines that programmatically aggregate data from cloud infrastructure, security tooling, vulnerability scanners, and GRC platforms to give leadership continuous visibility into the organization’s evolving risk landscape. Develop secure agentic AI pipelines that autonomously triage, classify, and route risk-related tasks—escalating to human reviewers only when

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