BackOps AI

Senior Cloud Security Engineer

BackOps AI
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2 months ago

Responsibilities

  • Design, build, and maintain cloud security controls across AWS/GCP infrastructure, Kubernetes, and serverless environments.
  • Implement fine-grained IAM policies, least-privilege access models, and automated secrets management.
  • Integrate SAST, DAST, and container vulnerability scanning into CI/CD pipelines.
  • Lead network security hardening involving VPC architecture, security groups, and cloud monitoring and alerting.
  • Operationalize vulnerability management and threat modeling for cloud-native applications and AI-driven workflows.
  • Partner with engineering teams on secure development practices and securing AI agent architectures.
  • Drive security programs from requirements through implementation, review, measurement, and remediation.

Requirements

  • Require 5+ years of experience in cloud security engineering, infrastructure security, or DevSecOps within a modern SaaS environment.
  • Require deep proficiency with AWS and/or GCP, including networking, IAM, and managed services.
  • Require experience with Infrastructure as Code using Terraform or CloudFormation and security automation in CI/CD pipelines.
  • Require strong understanding of container security and orchestration platforms such as Kubernetes, EKS, or GKE.
  • Require strong coding skills in Python, Go, or a similar language for security automation and cloud API interaction.
  • Require the ability to identify and prioritize material risks, communicate clearly across technical and non-technical teams, and independently drive programs to completion.
  • Preferred qualifications include experience with Vanta, Drata, SOC 2 Type I/II, SOC 3, ISO 27001, vendor risk management, privacy operations, data governance, endpoint or identity lifecycle management, secure SDLC, application security reviews, and vulnerability management.

Benefits

  • Competitive equity and ownership opportunity.
  • Direct access to leadership and high-impact visibility.
  • Collaborative team of seasoned operators and AI experts.
  • Hybrid work with core Bay Area presence and remote flexibility.
BackOps AI

About BackOps AI

11-50 employees
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