Sr. Lead Security Engineer - AI/ML
On-site · Plano, Texas, United States
Job Summary
Lead AI/ML security engineering efforts, developing secure production code and leading design and troubleshooting of AIML security controls across multiple cloud platforms (AWS, Azure, GCP). Responsible for designing technical artifacts, evaluating security designs with external vendors and internal teams, contributing to engineering communities, and fostering an inclusive team culture. Requires hands-on expertise in Python/Java/Golang, SDLC mastery, IaC (Terraform), containers and orchestration (Docker, Kubernetes, Helm), and substantial cloud experience (AWS, Azure, GCP); familiarity with AI/ML technologies and AI safety/cybersecurity trends; ability to work independently across design, development, testing, and operational stability. Advanced knowledge of CI/CD, resiliency, and security practices; preferred AWS/Azure/GCP certifications.
Required Qualifications
- Advanced in one or more programming language(s): Python, Java, Golang
- Proficient in all aspects of the Software Development Life Cycle
- Formal training on software engineering concepts and 5+ years applied development/coding experience
- Proficient in cloud infrastructure-as-code (IaC) tools like Terraform
- Knowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and Helm
- Extensive practical experience with at least one public cloud (Google Cloud Platform, Amazon Web Services)
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Hands on practical experience in design, application development, testing, and operational stability across AWS, Azure, and GCP
- Practical experience in AI and machine learning technologies
- Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security
- Ability to tackle design and functionality problems independently with little to no oversight
- Preferred qualifications, capabilities, and skills: AWS cloud certification(s): AWS Certified Developer – Associate, AWS Certified DevOps Engineer – Professional; Microsoft cloud certification(s): Azure Developer Associate, DevOps Engineer Expert; Google cloud certification(s): Professional Cloud Developer, Professional Cloud DevOps Engineer
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