Senior Cybersecurity Engineer - Security Operations Engineering

General Motors’ Cybersecurity Team safeguards the company’s global information assets, networks, and infrastructure. They are seeking a highly skilled Senior Cybersecurity Engineer to design, build, and maintain secure platforms while integrating advanced technologies into security operations.

Responsibilities:

• Design, develop, and maintain security-focused platforms using scripting languages, C++, and Rust
• Implement modern development processes (CI/CD, DevOps, Agile) to ensure efficient and reliable delivery
• Build scalable solutions across Linux-based environments and cloud-native architectures
• Integrate diverse systems using APIs, webhooks, and other communication protocols
• Develop and maintain integrations with AI-driven tools and data enrichment platforms to enhance SecOps capabilities
• Ensure interoperability across heterogeneous environments and security tools
• Collaborate with SecOps teams to design and implement advanced monitoring, detection, and response solutions
• Troubleshoot complex systems and resolve performance, reliability, and security issues
• Apply cybersecurity best practices to safeguard infrastructure and applications
• Architect and manage cloud-based environments (AWS, Azure, GCP) with a focus on security and scalability
• Optimize Linux OS and kernel-level configurations for performance and resilience
• Automate infrastructure provisioning and configuration management

Requirements:

• Bachelor's degree in computer science or a related field, or equivalent professional experience
• 7+ years in systems development, with a proven track record of delivering complex solutions
• Minimum 4+ years in SecOps or cybersecurity-focused roles
• Strong programming skills in scripting languages, C++, and Rust
• Solid understanding of Linux OS internals and kernel-level operations
• Hands-on experience with cloud development and architecture (AWS, Azure, GCP)
• Proficiency in troubleshooting complex distributed systems
• Experience integrating systems via APIs, webhooks, and other protocols
• Familiarity with AI-driven integrations and data enrichment workflows
• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills
• Ability to work in fast-paced, dynamic environments
• Experience with containerization (Docker, Kubernetes)
• Knowledge of security frameworks and compliance standards (NIST, ISO, SOC2)
• Familiarity with SIEM, SOAR, EDR, and other SecOps platforms
• Contributions to open-source projects or security communities