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À propos
JD: Details: Top 3 Required Technical Skills • Lead the strategic evolution of the GitHub Advanced Security environment and GitHub Copilot configuration • Design secure, automated CI/CD guardrails using CodeQL, secret scanning, and dependency scanning • Architect enterprise-scale AI-assisted development workflows with strong security and quality controls
Business Initiative / Project Overview This Security Architect will bridge the gap between security standards, developer productivity, and AI-assisted engineering. The role will focus on advancing the GitHub Advanced Security ecosystem and scaling Copilot's autonomous agent capabilities. The objective is to enable engineering teams to deliver resilient, secure software through automation, AI guardrails, and hands-on technical mentorship.
Current Methodology Agile delivery model with a strong emphasis on collaboration and accelerated project movement.
Organization & Team Culture • Hybrid schedule in Des Moines, Iowa: onsite Tuesday, Wednesday, and Thursday
Team Size & Structure • Core team of approximately 10, plus managers across the broader division • Works closely with architecture leadership to define priorities • Partners regularly with platform and technical teams to design and implement scalable solutions
Interview Process • Step 1: 30-45 minute Teams interview with the hiring leader • Step 2: 45 minute panel interview (in person or Teams based on availability) with architecture and team leadership
Role Summary As a Security Architect, this position is responsible for aligning security standards with developer velocity in an AI-enabled environment. By advancing the GitHub Advanced Security platform and governing Copilot autonomous agent usage, this role will help engineering teams adopt secure, automated, and scalable development practices.
Key Responsibilities Ecosystem Optimization • Evolve and tune GitHub Advanced Security and Copilot configurations for high accuracy and low developer friction Secure AI Orchestration • Govern the use of Copilot coding agents to ensure AI-generated code meets enterprise security and quality standards Seamless Guardrails • Implement automated scanning for code, secrets, and dependencies within CI/CD pipelines • Leverage AI-driven autofix capabilities to accelerate remediation Technical Advocacy • Partner with development teams to interpret and remediate complex security findings • Enable secure adoption of agent-based workflows Pattern Recognition & AI Guidance • Identify recurring security trends and create custom repository instructions that guide AI-generated code toward internal standards Risk Intelligence • Define and track metrics that shift the security posture from reactive to proactive • Measure the impact of AI-assisted development on code quality and security debt
Preferred Qualifications Technical Mastery • Deep expertise with GitHub Advanced Security (CodeQL, secret scanning, Dependabot) Automation Fluency • Strong experience building GitHub Actions CI/CD pipelines with automated security gates and agent-driven task execution Enterprise Influence • Proven ability to drive adoption of security and AI practices through collaboration and technical leadership AI Implementation • Hands-on experience scaling GitHub Copilot in an enterprise environment (Chat, Edits, Agent mode)
Compétences linguistiques
- English
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