F

Fin

AI-powered customer experience agent platform

Cloud Security Engineer

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • Proven experience in cloud security, security engineering, detection engineering, or a closely related field.
  • Strong experience securing and operating production AWS environments.
  • Deep understanding of cloud security principles, modern attack techniques, and security best practices.
  • Experience building or operating detection, monitoring, or threat detection capabilities.
  • Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts.
  • Experience implementing security controls across cloud platforms and production environments.
  • Strong programming skills and experience building automation, tooling, or operational workflows.
  • Experience working with infrastructure-as-code practices and modern cloud-native technologies.
  • Comfort using modern AI-assisted development tools to improve productivity and engineering effectiveness.
  • Ability to communicate security concepts clearly and collaborate effectively with engineering teams.
  • A pragmatic approach to balancing security, customer impact, and engineering velocity.

Responsibilities

  • Design and implement secure cloud architectures across AWS environments.
  • Build and maintain protective and detective controls that improve visibility into threats across cloud environments.
  • Develop detection engineering capabilities that identify attacker behavior and reduce time to detection and response.
  • Lead cloud security investigations and incident response activities in partnership with engineering teams.
  • Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents.
  • Build automation that improves the scalability, reliability, and effectiveness of security controls.
  • Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices.
  • Develop and improve cloud security standards, guidance, and best practices across Fin.
  • Drive security initiatives from problem definition through design, implementation, and measurable outcomes.
  • Assess emerging threats to cloud environments and help evolve defensive capabilities.
  • Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities.
  • Support the secure adoption of AI-assisted software development tools and engineering workflows.

Desired Qualifications

  • Experience building detection engineering, threat hunting, or security operations capabilities at scale.
  • Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring.
  • Experience applying AI to detection, response, threat analysis, or security operations workflows.
  • Familiarity with AWS networking, identity, and cloud security patterns.
  • Experience working across both large-scale SaaS environments and high-growth companies.

About the Company

Fin

AI-powered customer experience agent platform

Fin builds AI software for customer experience, featuring Fin, an AI agent that engages customers across service, sales, and ecommerce, and Intercom, a helper desk platform for human-assisted support. The Fin agent works through voice, chat, email, social channels, and Slack, performing multi-step tasks like updating accounts, processing refunds, or troubleshooting via its API, data connectors, and MCP, with Fin Operator monitoring and tuning for ops teams. It runs on proprietary Apex models trained for customer service and integrates with tools like Salesforce, HubSpot, and Freshdesk, alongside native Intercom workflows. Fin charges on outcome-based pricing per resolution, serves more than 12,000 customers, and was acquired by Salesforce in 2026 to continue growing in the AI customer-service space.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$490.8M
Headquarters
San Francisco, CA
Founded
2011

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