Principal AI DevSecOps Engineer

Execute enterprise DevSecOps strategy through standardized pipelines, architectures, and delivery roadmaps

Build and scale secure, automated CI/CD pipelines and development workflows

Drive organization-wide adoption of DevSecOps best practices and shift-left security

AI & Agentic SDLC Enablement

Embed AI across SDLC (code quality, security analysis, testing, release validation)

Implement AI-driven vulnerability prioritization and remediation

Enable agentic workflows to automate SDLC and operational processes

Establish governance and guardrails for responsible AI adoption

Microsoft Ecosystem Leadership

Leverage GitHub, GitHub Actions, Copilot, and GitHub Advanced Security

Integrate Microsoft and third-party tools into standardized pipelines

Align DevSecOps practices with broader cloud and workplace strategies

Platform, Security & Governance

Implement SAST, DAST, SCA, IaC scanning, and secrets management

Define governance frameworks, guardrails, and compliance mechanisms

Rationalize toolsets for efficiency and scalability

Metrics & Continuous Improvement

Track KPIs (pipeline adoption, remediation time, compliance, developer experience)

Use data and AI insights to drive ongoing improvements

Deliver executive-level insights and reporting

Change Leadership

Drive adoption through enablement, coaching, and documentation

Act as a trusted advisor across Engineering, Security, and Product teams

Translate technical initiatives into business outcomes