Job Title: Security Developer (AI-Enabled Remediation & DevSecOps)
Job Type: Full Time
Location: Remote
Role Summary
We are seeking a Security Developer to identify, prioritize, and remediate security vulnerabilities across applications, codebases, and infrastructure.
This role will leverage AI-assisted tooling and automation to accelerate remediation efforts, reduce manual work, and improve the overall security posture at scale.
This is a hands-on role focused on fixing real vulnerabilities while building intelligent automation to prevent them from recurring.
Key Responsibilities Application Security & Code Remediation
Identify and remediate vulnerabilities from SAST, DAST, and dependency scanning tools
Fix insecure code patterns (e.g., injection flaws, auth issues, insecure data handling)
Partner with engineering teams to implement secure coding practices
Perform security-focused code reviews
AI-Driven Security Automation
Leverage AI coding assistants (e.g., GitHub Copilot, ChatGPT, internal LLM tools) to accelerate vulnerability remediation
Build scripts, bots, or workflows that automatically:
Generate secure code fixes
Refactor vulnerable patterns
Suggest dependency upgrades
Integrate AI into CI/CD pipelines to assist with:
Automated remediation suggestions
Code review augmentation
Security issue triage and prioritization
Continuously evaluate emerging AI tools to improve security engineering efficiency
Secrets & Credential Management
Detect and remediate exposed secrets (API keys, tokens, credentials) in repositories
Implement automated scanning and prevention in CI/CD pipelines
Design secure secrets management solutions (vaults, rotation policies, ephemeral credentials)
Dependency & End-of-Life (EOL) Remediation
Identify outdated libraries, frameworks, and infrastructure components
Automate dependency upgrades where possible
Partner with DevOps to eliminate unsupported systems and reduce technical debt
Secure SDLC & DevSecOps Integration
Embed security checks and AI-assisted remediation into CI/CD pipelines
Implement guardrails that prevent insecure code from being merged
Create reusable security modules, templates, and automation scripts
Collaboration & Enablement
Act as a bridge between Security, Engineering, and Infrastructure teams
Educate developers on secure coding and AI-assisted workflows
Help prioritize vulnerabilities based on risk and exploitability
Required Qualifications
3 8+ years of software development experience
Strong understanding of common vulnerabilities (e.g., OWASP Top 10)
Experience fixing vulnerabilities in production codebases
Hands-on experience with CI/CD pipelines and modern development workflows
Experience using or integrating AI developer tools (e.g., Copilot, Claude, or similar)
Familiarity with SAST, DAST, and dependency scanning tools
Preferred Qualifications
Experience building automation scripts (Python, PowerShell, or similar)
Familiarity with prompt engineering and AI-assisted code generation workflows
Experience integrating AI into developer pipelines or tooling
Cloud experience (AWS, Azure, or Google Cloud Platform)
Knowledge of container/Kubernetes security
Key Skills
Vulnerability remediation at scale
AI-assisted development and automation
Secure coding practices
CI/CD and DevSecOps
Dependency and secrets management
Cross-functional collaboration
Success Metrics
Reduction in critical/high vulnerabilities
Faster remediation times (MTTR)
% of vulnerabilities auto-remediated or AI-assisted
Reduction in exposed secrets
Decrease in EOL systems and libraries
Adoption of secure coding + AI workflows across teams
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