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Cloud Security Engineer

Join Fin as a Cloud Security Engineer to secure AI-powered customer service platforms and drive innovative security initiatives.

Location
Dublin, Ireland
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 3 months ago

Last verified on the company career page 6 hours ago

AI in the day-to-day

We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering and automated investigations.

Requirements

Experience
3+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

The Cloud Security Engineer at Intercom focuses on designing and implementing secure cloud architectures while developing detection capabilities to identify and respond to threats in AWS environments. This role requires strong expertise in cloud security principles, incident response, and automation, along with programming skills to enhance security controls. It is well-suited for experienced professionals with a background in security engineering or related fields, particularly those familiar with cloud-native technologies and AI applications in security. Intercom's commitment to an AI-first approach to security reflects its innovative culture and rapid growth.

Joblaze insights

  • Listed about 3 months ago — first seen on Joblaze July 1, 2026. Last confirmed on Intercom's careers page October 9, 2026.
  • This exact title is also open at 1 other location at Intercom: London, England.

Quick facts

Is the Cloud Security Engineer role remote?
It's hybrid — Intercom expects some on-site time in Dublin, Ireland.
How much experience is required?
At least 3 years of relevant experience for this Cloud Security Engineer role.
Where is the role based?
Intercom is hiring for this position in Dublin, Ireland.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, AWS, Automation, Detection Engineering, Incident Response, cloud security.
What seniority level is this role?
Intercom targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Cloud Security Engineer role at Intercom.

From the original posting

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

What's the opportunity?

Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission.

The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction.

The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape.

What will I be doing?

  • Design and implement secure cloud architectures across our AWS environments.
  • Build and maintain protective and detective controls that improve visibility into threats across our cloud environments.
  • Develop detection engineering capabilities that identify attacker behaviour 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 our 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.

What skills do I need?

  • 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.
  • Comfortable 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.

Bonus skills & attributes

  • 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.

#LI-Hybrid

Unleash Your Potential

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