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Staff DevSecOps Engineer (R5824)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy sof

Job Full source details
Shield AI Source published Sep 3, 2026 Verified 6 days ago
✓ 100% verification score · Source: Shield AI (lever) · Always confirm final requirements on the original source.
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EmploymentFull Time Employee

Overview

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy sof

Full job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

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.

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

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

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

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