Senior Cloud Security & AI Engineer

General Motors Company; Austin (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

General Motors’ Advanced Security Engineering team is seeking a senior engineer to design, build, and operate cloud services and AI agents that analyze untrusted code, secure data, and control access to security tools. You will work independently, own delivery across teams, and mentor peers in a hybrid role.

The role emphasizes security, reliability, and cost management of the systems you deliver, with collaboration across security and cloud teams to drive secure, scalable solutions.

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or related field, or equivalent practical experience.
• 5+ years of experience in software engineering, cloud engineering, or security engineering.
• Strong experience writing production Python.
• Experience with infrastructure as code, such as Terraform, and CI/CD on a major cloud platform.
• Working knowledge of application security, including common vulnerability classes, how security scanners work, and where they produce false positives.
• Experience building secure systems using least privilege, secrets management, isolation, and safe handling of untrusted input.
• Ability to own work across teams, make sound decisions with limited information, and explain technical risk to people who are not security specialists.
• Experience using agentic large language model (LLM) tools and solutions.

Responsibilities

• Design, build, and operate production cloud services in Python, including containerized workloads, event-driven processing, and data storage.
• Integrate findings and context from security tools, source control, and cloud APIs. Build AI agents that triage findings and propose fixes.
• Build and harden sandboxed environments for AI-enabled testing of authorized targets, applying defense in depth.
• Control agent access through isolation, least-privilege identities, network egress limits, and secrets management.
• Evaluate model accuracy, cost, and latency to inform model selection and detect regressions.
• Partner with security engineers to turn expert judgment into repeatable checks and deliver solutions across teams.

Skills

Production Python

Infrastructure as Code

CI/CD

Application security

Least privilege

LLM tools

Cross-team collaboration

Education

Bachelor's degree or equivalent in CS, cybersecurity, engineering

Tools

Terraform

Kubernetes

Job description

General Motors’ Advanced Security Engineering team is seeking a senior engineer to design, build, and operate cloud services and AI agents that analyze untrusted code, secure data, and control access to security tools. You will work independently, own delivery across teams, and mentor peers in a hybrid role.

The role emphasizes security, reliability, and cost management of the systems you deliver, with collaboration across security and cloud teams to drive secure, scalable solutions.