Senior Cloud Security Engineer - AI/Cloud Security, Remote

bloomreach

United States

Remote

USD 150,000 - 210,000

Full time

12 days ago
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Benefits offered by this job

Equity grants
Performance bonus eligibility
Education budget
Parental leave
Disconnect days
Employee assistance program
Wellness program
Volunteer days

Job summary

Bloomreach seeks a senior staff-level security engineer to safeguard cloud infrastructure and operationalize security across an AI-driven personalization platform. You will own AWS/GCP architectures, lead detection engineering, vulnerability management, and incident response, shaping secure practices for AI-enabled tooling and product capabilities.

You will design controls, automate guardrails, and mentor engineers while collaborating with cross-functional teams to maintain strong security

Qualifications

  • 6+ years of security engineering experience.
  • Hands-on cloud security, network security, CVE lifecycle, and threat modeling.
  • Experience designing secure AWS and GCP architectures and validating IaC.
  • Scripting skills in Python, Go or Bash.
  • Operational experience with firewalls, WAFs, cloud network controls, and endpoint protections.

Responsibilities

  • Design, implement, and monitor cloud security controls across AWS and GCP environments.
  • Deploy, configure, tune, and maintain SIEM platforms; write detection rules and playbooks.
  • Identify, triage, and remediate infrastructure and web vulnerabilities; manage CVE lifecycle including patching.
  • Lead incident triage, coordinate researcher engagement, and drive vulnerability disclosures.
  • Build automation and guardrails with policy-as-code in CI/CD pipelines.
  • Define security standards, runbooks, and playbooks; mentor junior engineers.

Skills

Cloud security
Network security
Threat modeling
CVE lifecycle
IaC security
Python
Go
Bash
WAFs
Incident response
AWS security
GCP security
Communication

Job description

Bloomreach seeks a senior staff-level security engineer to safeguard cloud infrastructure and operationalize security across an AI-driven personalization platform. You will own AWS/GCP architectures, lead detection engineering, vulnerability management, and incident response, shaping secure practices for AI-enabled tooling and product capabilities.

You will design controls, automate guardrails, and mentor engineers while collaborating with cross-functional teams to maintain strong security

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