Senior Cloud App Security Lead (AWS, AI)

8396 Ireland - Genesys Cloud Services Ireland Limited

Ireland

Remote

EUR 120,000 - 180,000

Full time

14 days+
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Job summary

Genesys is seeking a Principal Cloud Application Security Engineer to shape how security scales across cloud accounts, regions, APIs, applications and software supply chains. You will own the technical direction of a small team while staying hands-on with vulnerability triage, detection engineering, and cloud security across enterprise-scale deployments.

The role emphasizes AI-assisted development, reducing false positives, and defining trust boundaries for AI-driven security decisions, with a

Qualifications

  • 10+ years of experience in application/product security, vulnerability management, or cloud security.
  • Demonstrated expertise in real-world exploitability across web/API security.
  • Strong experience with SAST, SCA, DAST, and cloud security tooling.
  • Proven ability to scale security detection and automation using AI-driven approaches.

Responsibilities

  • Lead a small Application Security team and set technical direction.
  • Own end-to-end application security operating model and coverage evolution.
  • Drive scalable detection across SAST, SCA, DAST, secrets scanning, cloud security, and AI-enabled security capabilities.
  • Expand security visibility across web, API, mobile, cloud, and software supply chains to identify systemic risks.
  • Establish meaningful security coverage metrics and defensible vulnerability decisions.
  • Lead investigation and escalation of high-risk security issues across tenants and data exposure.

Skills

Cloud security
Application security
SAST
SCA
DAST
AWS
Python

Tools

Automation tooling
Security tooling

Job description

Genesys is seeking a Principal Cloud Application Security Engineer to shape how security scales across cloud accounts, regions, APIs, applications and software supply chains. You will own the technical direction of a small team while staying hands-on with vulnerability triage, detection engineering, and cloud security across enterprise-scale deployments.

The role emphasizes AI-assisted development, reducing false positives, and defining trust boundaries for AI-driven security decisions, with a

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