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Staff DevSecOps Engineer – Cloud Security & Automation

shieldai · San Diego

New
Senior 🇬🇧 English
AWS Infrastructure-as-code Kubernetes Dependency scanning Container scanning Configuration validation Secrets management Python Go Bash

Job description

About the role

Shield AI’s Cloud Engineering team builds and operates the infrastructure that powers its autonomous systems. As a Staff DevSecOps Engineer you will design, implement, and automate security controls across AWS, container workloads, and CI/CD pipelines. This hands‑on role focuses on making secure configurations repeatable while minimizing friction for development teams.

Key responsibilities

  • Design and implement security controls across AWS infrastructure and platform services.
  • Build and maintain hardened container and base images for engineering and production workloads.
  • Integrate vulnerability, dependency, container, and configuration scanning into software delivery pipelines.
  • Automate security and compliance checks to reduce manual effort and improve consistency.
  • Implement secrets management, identity, and access controls across cloud and engineering systems.
  • Develop mechanisms for audit evidence, configuration validation, and compliance reporting.
  • Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams.
  • Define reusable security patterns and promote adoption across multiple engineering teams.

Required profile

  • 5+ years of experience as a Senior Engineer or 7+ years as a Staff Engineer in cloud security.
  • Proven experience implementing security controls in AWS or another major cloud environment.
  • Strong background with infrastructure‑as‑code and automated provisioning.
  • Experience securing containerized workloads and building hardened images.
  • Hands‑on experience integrating security tooling into CI/CD or software delivery systems.
  • Ability to diagnose security and configuration issues across infrastructure, containers, and platform services.

Required skills

  • AWS
  • Infrastructure‑as‑code (e.g., Terraform, CloudFormation)
  • Docker and Kubernetes security
  • CI/CD pipeline integration
  • Vulnerability, dependency, and container scanning
  • Identity and access management, secrets management
  • Python, Go, Bash scripting

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Source : ats:lever

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Published 3 days ago

Expires 1 month from now

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shieldai

San Diego