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Cloud Security Engineer - Remote

Posted Yesterday
DevOps / Sysadmin
Full Time
USA
$75,000 - $125,000/year

Overview

Trase Systems is an AI company focused on simplifying AI deployment and management for enterprises, ensuring efficiency and cost savings.

In Short

  • Join as a foundational member in a Cloud Security Engineer role.
  • Secure multi-cloud environments and integrate security in development lifecycle.
  • Design and implement security controls for cloud infrastructure.
  • Develop and enforce cloud security policies and best practices.
  • Manage monitoring and logging solutions for security events.
  • Collaborate with teams to embed security throughout software development.
  • Optimize vulnerability management for cloud infrastructure.
  • Implement Identity and Access Management (IAM) policies.
  • Work in a fast-paced, high-stakes environment.
  • Some travel required.

Requirements

  • Experience in cloud security engineering with production environments.
  • Knowledge of cloud security principles for AWS, Azure, or GCP.
  • Proficiency in Infrastructure as Code and security automation scripting.
  • Experience with container security and orchestration platforms.
  • Familiarity with compliance frameworks like FedRAMP or SOC 2.
  • Strong problem-solving skills and collaboration ability.

Benefits

  • 100% employer-paid healthcare for you and your family.
  • Paid maternity and paternity leave for 14 weeks.
  • Unlimited PTO with management approval.
  • Opportunities for professional development and educational reimbursements.
  • Optional 401K, FSA, and equity incentives available.
  • Mental health benefits offered.
Trase Systems logo

Trase Systems

Trase Systems, co-founded in 2023 by Joe Laws and Grant Verstandig, is an innovative technology company focused on simplifying the adoption of artificial intelligence (AI) for enterprises. The company provides an end-to-end solution that empowers enterprise leaders to leverage AI's full potential while minimizing complexity and risks. Trase specializes in bridging the 'last mile' of AI adoption, enabling organizations to implement, manage, and optimize AI technologies effectively, driving efficiency and significant cost savings.

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