Senior AppSec Engineer: AI-Driven Secure Coding & DevSecOps

AgileEngine, LLC.; Buenos Aires; A distancia; ARS 208.955.000 - 298.507.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work

Modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Application Security Engineer to architect and build automated security layers within the SDLC, leveraging AI-enabled secure code scanning, hardened automation, and CI/CD security tooling for a large-scale financial services program.

You will work primarily in Python to build automated security runbooks, deploy scanning tools, and provide code-level remediation guidance to development teams.

Formación

• 5+ years of software engineering experience, ideally with Application Security and DevSecOps
• Strong coding and architectural proficiency in Python for security automation and scripting
• Fully autonomous execution capability with no daily supervision to map out and build automated security runbooks

Responsabilidades

• Engineer and deploy AI-enabled secure code scanning capabilities and Golden Images to drive secure-from-the-start adoption
• Automate the development of secure coding patterns and integrate them with SDLC workflows
• Architect the integration of continuous security scanning tools into enterprise CI/CD pipelines and tune them to reduce noise
• Review complex application code (Java/Python) to provide code-level remediation guidance to engineers

Conocimientos

Python

Autonomy

Security automation

Code review

Herramientas

SAST

DAST

SCA

CI/CD

Descripción del empleo

AgileEngine is seeking a Senior Application Security Engineer to architect and build automated security layers within the SDLC, leveraging AI-enabled secure code scanning, hardened automation, and CI/CD security tooling for a large-scale financial services program.

You will work primarily in Python to build automated security runbooks, deploy scanning tools, and provide code-level remediation guidance to development teams.