Senior DevOps Engineer

Machine Learning Technologies, LLC; Ewing Township (NJ); On-site; USD 84,000 - 120,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior DevSecOps engineer specializing in AI-assisted security and secure software delivery. The role focuses on advanced SAST, SCA, vulnerability management, and software supply chain security within mature DevOps teams.

You will partner with application teams to embed secure delivery practices across the SDLC, automate security controls, and accelerate vulnerability remediation using AI-powered tools.

Qualifications

• 7+ years in DevOps/DevSecOps, application security, or related field.
• Expert knowledge of secure software engineering, vulnerability management, and software supply chain security.
• Hands-on with AI tech for security analysis and remediation; familiarity with LLMs and code assistants.
• Experience with leading security tools and CI/CD automation.

Responsibilities

• Perform advanced application security analysis using AI-assisted tools, SAST, SCA, and dependency analysis.
• Partner with application teams to embed security throughout the SDLC.
• Develop and automate security controls, policies, and remediation workflows in CI/CD pipelines.
• Leverage AI-powered tools to identify vulnerabilities and accelerate remediation.
• Analyze findings with development teams to reduce risk and improve posture.
• Evaluate and implement emerging AI-driven security capabilities and automation.

Skills

DevSecOps

Application Security

AI security

SAST

SCA

Vulnerability mgmt

Secure SDLC

CI/CD pipelines

Tools

SonarQube

Nexus IQ

GitHub Advanced Security

HCL AppScan

Prisma

Qualys

Claude Code

GitHub Copilot

Codex

Antigravity

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Location: Ewing, NJ
Duration: 8 Months + Extension
Bill Rate: $74/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• 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.

Responsibilities

• 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.

Qualifications

• 7+ 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, GCP 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.