Application Security Engineer

Cloudbees
United Kingdom, Ireland
Workplace: HybridFull timeFunction: CybersecuritySkills: ["Communication","Interpersonal skills","Collaboration","Self-starter","Ownership"]

Secure internal enterprise systems and AI/agentic workflows by defining secure SDLC standards, building reference architectures, and translating threat modeling findings into actionable controls and detection requirements. Partner with the CISO and business teams to raise security adoption, conduct technical security reviews, and evaluate emerging AI/ML security tools. Engineer and automate AI-first security workflows to help the security team scale across product security, SOC, and GRC.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Cloudbees
Cloudbees
4 months ago

Application Security Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Secure internal enterprise systems and AI/agentic workflows by defining secure SDLC standards, building reference architectures, and translating threat modeling findings into actionable controls and detection requirements. Partner with the CISO and business teams to raise security adoption, conduct technical security reviews, and evaluate emerging AI/ML security tools. Engineer and automate AI-first security workflows to help the security team scale across product security, SOC, and GRC.
Location: United Kingdom, Ireland
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity

Key Responsibilities

  • •Develop secure SDLC standards for internal apps and AI workflows, including patterns, reference architectures, and documentation for self-serve teams.
  • •Conduct threat modeling, risk assessments, and technical security reviews for enterprise systems, internal apps, and AI/agentic deployments; prioritize risks and advise mitigations.
  • •Design safeguards for enterprise AI tooling, including agents and non-human identities, and evaluate/integrate emerging AI/ML security tools.
  • •Engineer and automate AI-first security workflows and tooling that helps the wider security team scale.
  • •Collaborate with business teams to raise the profile of security and adopt secure practices, especially for AI and low-code environments.

Key Requirements

  • •Hands-on software and enterprise security experience with strong security expertise.
  • •Proficiency in secure SDLC fundamentals, including threat modeling, secure design, vulnerability management, and CI/CD security.
  • •Comfortable writing and reviewing code (Python, Go, TypeScript, or similar) and using it to build security integrations/workflows.
  • •Experience with security tooling at scale such as SAST, DAST, SIEM, endpoint, cloud, identity, and vulnerability management platforms.
  • •Knowledge of AI/ML security risks, attack vectors, vulnerabilities, and familiarity with agentic AI/generative AI tool frameworks.
Skills:CommunicationInterpersonal skillsCollaborationSelf-starterOwnership
Tech Stack:PythonGoTypeScriptCI/CDThreat modelingSecure SDLCVulnerability managementSASTDASTSIEMEndpoint securityCloud securityIAMAI/ML securityAI toolingAgentic AI frameworksGenerative AIJenkins

Company Brief

Cloudbees
Provides enterprise software delivery and DevOps tools, including CI/CD automation, application release orchestration, and Jenkins-based solutions for building, testing, and deploying software at scale.
Industry: Developer Tools
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: United States
Founded: 2010
WebsiteLinkedIn