• Artificial Intelligence

Senior Full Stack Engineer

Job Category :

Colombia
Posted 11 hours ago

Job title: Senior Full Stack Engineer
Work Location: Colombia
Experience: 6–8 years
Education Qualification: High School

Roles and Responsibilities:

  • Risk Identification: Identify and prioritize meaningful security risks across first-party code, services, infrastructure, build pipelines, and software supply chain components.
  • Vulnerability Validation: Validate findings for exploitability, severity, affected products, business impact, and remediation priority.
  • Cross-Functional Collaboration: Collaborate with Security Research and Product teams to translate novel findings, malicious component discoveries, and emerging attack patterns into research-ready outputs, product improvements, detection opportunities, and customer-facing intelligence.
  • Remediation & Mitigation: Work closely with Application Security and Engineering to move validated findings through remediation and reduce repeat vulnerability patterns.
  • AI-SDLC Evangelism: Champion modern AI-SDLC practices by translating recurring vulnerability classes, insecure coding patterns, and effective remediation approaches into reusable guidance, detection logic, secure coding standards, and remediation playbooks.
  • Fix Implementation: Create clear remediation guidance, engineering-ready fix proposals, and pull requests where appropriate.

Required Skills & Desired Skills

  • Experience: 8+ years of professional software engineering experience, including 2+ years in a Staff Engineer or equivalent technical leadership role.
  • Security Expertise: Proven experience identifying, validating, and helping remediate vulnerabilities in production software, services, APIs, infrastructure, or software supply chain components.
  • Code Proficiency: Strong ability to read, understand, and reason about complex codebases, preferably including Java, Kotlin, or other JVM-based backend systems.
  • Tooling & Methods: Hands-on experience with application security testing methods and tools, such as SAST, DAST, SCA, secret scanning, threat modeling, secure code review, or vulnerability validation.
  • AI & Automation: Practical experience using AI-assisted engineering, security analysis, or automation techniques to improve software quality outcomes.
  • Communication: Ability to translate security findings into clear remediation guidance, engineering-ready recommendations, and practical risk-based priorities. Strong collaboration skills working across AppSec, Engineering, Product, or Security Research teams.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience.
  • DevOps Culture: Solid understanding of cloud-native architecture, CI/CD workflows, build pipelines, containers, and modern DevOps practices.
  • Leadership: Passion for raising the security bar through technical leadership, mentoring, secure engineering practices, and continuous improvement.
  • Advanced English (B2+)

Desirable Certifications:

  • SANS: GSEC, GCIH, GCLD, GCID, GMON
  • (ISC)²: CISSP, CC, SSCP, CCSP, CAP, CSSLP

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