Shield AI

Staff DevSecOps Engineer (R5824)

Shield AI$182K — $274K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience for Senior Engineer or 7+ years for Staff Engineer in related field
  • Proven track record implementing security controls in AWS or major cloud environment
  • Skilled in infrastructure-as-code and automated infrastructure provisioning
  • Expertise in securing containerized workloads and managing hardened container images
  • Experience integrating security tools into CI/CD or software delivery systems
  • Knowledge of vulnerability and configuration scanning processes
  • Proficient in automating tasks using programming languages like Python or Go

Responsibilities

  • Design and implement security controls across AWS infrastructure
  • Build and maintain secure base images for production workloads
  • Integrate vulnerability and configuration scanning into software delivery systems
  • Automate security checks for improved consistency and reduced manual reviews
  • Implement secrets management and identity controls across engineering systems
  • Provide audit evidence and compliance reporting mechanisms
  • Collaborate with Cybersecurity teams to translate security requirements into engineering controls
  • Promote security engineering practices across multiple teams at Staff level

Benefits

  • Bonus program
  • Equity participation
  • Comprehensive benefits package for regular employees
  • Temporary benefits available after 60 days for temporary employees
Full Job Description
Job Description

Cloud Engineering builds and operates the infrastructure and environments that support Shield AI's software products and platforms.

As a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.

This is a hands-on engineering role focused on making secure configurations repeatable and maintainable. You will work across infrastructure, containers, CI/CD systems, and platform services to reduce security risk without creating unnecessary friction for engineering teams.

What You'll Do

  • Design and implement security controls across AWS infrastructure and platform services
  • Build and maintain hardened container images and secure base images for engineering and production workloads
  • Integrate vulnerability, dependency, container, and configuration scanning into software delivery systems
  • Automate security and compliance checks to reduce manual review and improve consistency
  • Implement secrets management, identity, and access controls across infrastructure and engineering systems
  • Build mechanisms for audit evidence, configuration validation, and compliance reporting
    Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams
  • Partner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls
  • Work with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows
  • At the Staff level, Define reusable patterns and drive adoption of security engineering practices across multiple teams


Required Qualifications

  • 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.
  • Experience implementing security controls in AWS or another major cloud environment
  • Experience with infrastructure-as-code and automated infrastructure provisioning
  • Experience securing containerized workloads and building or maintaining hardened container images
  • Experience integrating security tooling into CI/CD or software delivery systems
  • Experience with vulnerability management, dependency scanning, container scanning, or configuration validation
  • Experience implementing identity, secrets, and access controls in cloud or engineering environments
  • Experience automating security or infrastructure tasks using Python, Go, Bash, or a similar language
  • Ability to diagnose security and configuration issues across infrastructure, containers, and platform services
  • Experience working with security and engineering teams to implement shared technical controls


Preferred Qualifications

  • Experience operating systems in regulated or compliance-driven environments
  • Experience with Kubernetes security, workload identity, or container runtime controls
  • Experience building reusable hardened images or secure infrastructure baselines used across multiple teams
  • Experience with cloud security posture management, policy-as-code, or automated compliance tooling
  • Experience supporting audit evidence collection or continuous compliance workflows
  • Familiarity with software supply-chain security, artifact integrity, or signing/attestation workflows


$182,000 - $274,000 a year

#LI-DM2

#LD

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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