Senior Cybersecurity Engineer - AI-Driven SecOps & Cloud

General Motors; Austin (TX); Hybrid; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

General Motors is seeking a Senior Cybersecurity Engineer to design, build, and maintain secure platforms across Linux and cloud environments. You will drive CI/CD and DevOps practices, enable AI-driven security tools, and integrate with diverse systems via APIs and webhooks.

You will collaborate with SecOps to enhance monitoring, detection, and response while optimizing kernel-level performance and scalable security architectures. Hybrid work model with relocation options may be available.

Qualifikationen

• Bachelor's degree in computer science or a related field or equivalent experience.
• 7+ years in systems development with a track record of delivering complex solutions.
• 4+ years in SecOps or cybersecurity-focused roles.
• Strong programming skills in scripting languages, C++, and Rust.
• Experience with Linux OS internals and kernel-level operations.
• Hands-on cloud development and architecture (AWS, Azure, GCP).
• Experience integrating systems via APIs, webhooks, and other protocols.
• Familiarity with AI-driven integrations and data enrichment workflows.
• Excellent communication and collaboration skills.

Aufgaben

• Design, build, and maintain secure, scalable security-focused platforms.
• Implement CI/CD, DevOps, and Agile processes for reliable delivery.
• Develop integrations with AI-driven tools and data enrichment platforms.
• Collaborate with SecOps to implement advanced monitoring, detection, and response.
• Architect and manage security-focused cloud environments (AWS/Azure/GCP).

Kenntnisse

C++

Rust

Scripting

Linux

Cloud (AWS/Azure/GCP)

CI/CD

SecOps

APIs

Ausbildung

Bachelor's degree in computer science

Tools

Docker

Kubernetes

SIEM

SOAR

EDR

Jobbeschreibung

General Motors is seeking a Senior Cybersecurity Engineer to design, build, and maintain secure platforms across Linux and cloud environments. You will drive CI/CD and DevOps practices, enable AI-driven security tools, and integrate with diverse systems via APIs and webhooks.

You will collaborate with SecOps to enhance monitoring, detection, and response while optimizing kernel-level performance and scalable security architectures. Hybrid work model with relocation options may be available.