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