Devops Engineer - Remote

Senior DevOps Engineer 

Location:  REMOTE

Must have:

·       Strong hands-on DevSecOps experience

·       Advanced SAST/SCA and vulnerability management

·       Software supply chain and container/image security

·       CI/CD security integration and automation

·       GitHub/GitHub Advanced Security experience

·       AI-assisted security/vulnerability analysis experience

·       Strong scripting and automation background

• Candidate can sit anywhere in the US, must be able to work EST hours.

• This is not a traditional DevOps engineer role.
• We need someone with deep expertise in DevSecOps & AI-assisted security, including advanced SAST, SCA, vulnerability management, and software supply chain security.
• This role focuses on DevSecOps and AI-assisted security, leveraging advanced static application security testing (SAST), software composition analysis (SCA), and emerging AI-powered security capabilities to streamline software delivery, improve developer productivity, and strengthen application security throughout the SDLC.
• Join a mature DevOps team to enhance the stability, security, and scalability of CI/CD pipelines across hybrid environments.
• This role focuses on DevSecOps and AI-assisted security, leveraging advanced static application security testing (SAST), software composition analysis (SCA), and emerging AI-powered security capabilities to streamline software delivery, improve developer productivity, and strengthen application security throughout the SDLC.
• The engineer will partner closely with application teams to implement secure delivery practices, remediate vulnerabilities, automate security controls, and leverage AI-powered tools to accelerate security analysis, vulnerability remediation, and code fixes.

• Perform advanced application security analysis using AI-assisted security tools, SAST, SCA, dependency analysis, and software supply chain security solutions.
• Partner with application teams to implement secure software delivery practices and embed security throughout the SDLC.
• Develop and automate security controls, policies, quality gates, and remediation workflows within CI/CD pipelines to enable secure and compliant software delivery.
• Leverage AI-powered tools and coding assistants to identify vulnerabilities, generate remediation recommendations, and accelerate code remediation efforts.
• Analyze and prioritize security findings, working with development teams to reduce risk and improve application security posture.
• Evaluate and implement emerging AI-driven security capabilities and automation solutions to strengthen enterprise security and improve developer productivity.

• 10+ years of experience in DevOps, DevSecOps, Application Security, Secure Software Engineering, or a related field.
• Expert knowledge of application security, vulnerability management, security assessments, and software supply chain security, including SAST, SCA, DAST, dependency analysis, and secure coding practices.
• Hands-on experience leveraging AI technologies, including LLMs, MCP servers, AI Skills, AI Agents, and code assistants such as Claude Code, GitHub Copilot, Codex, Antigravity, or similar platforms for security analysis, vulnerability remediation, and developer productivity.
• Experience with security tools such as SonarQube, Sonatype Nexus IQ, GitHub Advanced Security, HCL AppScan, Prisma, Qualys, or similar application security platforms.
• Experience developing and implementing secure CI/CD pipelines and automation using GitHub, GitHub Actions, Jenkins, Azure DevOps, Google Cloud Platform Cloud Build, or similar technologies.
• Strong understanding of SDLC, DevSecOps principles, security controls, and modern application security best practices.
• Experience partnering with application development teams to remediate vulnerabilities, implement security controls, and improve overall security posture.