DevSecOps Engineer - AI & Cloud Security

Job Summary

Meet the Team

Welcome to the AI Strategic Planning Group (AI SPG) on the Cloud Control & AI Canvas team. We are a collaborative, forward-thinking team dedicated to building and securing the next generation of cloud infrastructure and enterprise AI platforms.

Here, security is an enabler of innovation, not a barrier. We believe in a culture of shared ownership, continuous learning, and psychological safety where diverse perspectives thrive. You will partner side-by-side with talented engineers, architects, and product innovators to pioneer secure-by-default cloud designs, agentic AI workflows, and modern DevSecOps practices on a global scale.

Your Impact:

• Build cutting-edge AI agent workflows to automate alert triage, threat modeling, evidence collection, and guided incident response with built-in human-in-the-loop guardrails.
• Design and implement robust, secure-by-default AWS cloud foundations-advancing IAM least privilege, data encryption, network segmentation, and automated guardrails.
• Build seamless CI/CD automation with GitHub Actions, Terraform, and container security tooling (SAST/DAST/SCA, SBOMs, artifact signing) to empower developers to ship fast and securely.
• Partner early with engineering teams to conduct pragmatic threat modeling across microservices, APIs, Kubernetes, and AI/LLM applications.
• Streamline audit readiness and operational workflows for frameworks like SOC 2, FedRAMP, and ISO 27001 using Python, APIs, and Infrastructure-as-Code.

Minimum Qualifications (Must-Have Skills)

We are looking for a DevSecOps Engineer with 7+ years of hands-on experience in Cloud Security, Application Security, or Software Engineering. Bachelors degree or equivalent practical experience welcome.

• Proven experience securing AWS multi-account environments, including IAM policies, SCPs, WAF, KMS, CloudTrail, GuardDuty, and Security Hub.
• Proven scripting and automation capability in Python (or Go/Bash) with hands-on Terraform (IaC) and GitHub Actions (CI/CD pipelines).
• Experience performing security architecture reviews, threat modeling, and integrating vulnerability scanning into software delivery lifecycles.
• Daily comfort using AI coding assistants and modern developer tools (e.g., GitHub Copilot, Cursor, LLMs) to accelerate daily workflows.
• Strong communication and teamwork skills, with a track record of partnering empathetically with developers to solve security challenges.

Preferred Qualifications (Optional Skills)

• Securing generative AI apps, prompt guardrails, and agent tool permissions.
• Automating audit evidence for SOC 2, FedRAMP, ISO 27001, or IRAP/ISMAP.
• Hands-on with SBOMs, provenance, and artifact signing (e.g., Sigstore/Cosign).
• Experience with SIEM logging, detection engineering, and incident triage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.