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Senior Data Security Engineer - Cloud & AI

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Senior Data Security Engineer - Cloud & AI

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Jobright.ai U.S. Bank is committed to helping customers and businesses make better financial decisions while supporting community growth. They are seeking a Senior Data Security Engineer to lead the design and implementation of advanced security solutions in multi-cloud environments, focusing on securing data pipelines and AI/ML platforms. Responsibilities: Lead the secure deployment and integration of AI, cloud and data security applications in a regulated environment. Serve as a subject matter expert and architect for AI/ML security, cloud security and data security solutions. Architect and automate CI/CD pipelines and Infrastructure-as-Code (IaC) templates to support secure application development and deployment. Collaborate with cross-functional teamsincluding AI/ML engineers, infrastructure, and risk managementto embed security into the full application lifecycle. Provide technical leadership in securing modern application architectures while addressing complex data protection challenges across AI pipelines, model training environments, and intelligent data systems. Qualifications: Required: Lead the secure deployment and integration of AI, cloud and data security applications in a regulated environment. Serve as a subject matter expert and architect for AI/ML security, cloud security and data security solutions. Architect and automate CI/CD pipelines and Infrastructure-as-Code (IaC) templates to support secure application development and deployment. Collaborate with cross-functional teamsincluding AI/ML engineers, infrastructure, and risk managementto embed security into the full application lifecycle. Provide technical leadership in securing modern application architectures while addressing complex data protection challenges across AI pipelines, model training environments, and intelligent data systems. 7+ years working experience with cloud technologies or data engineering. Ability to lead AI/ML security, cloud security, and data security initiatives. Familiarity with regulatory frameworks, security frameworks, and AI governance standards. Working experience with AI/ML and/or data security. Knowledge of adversarial ML, model security, data privacy, and data security techniques. Ability to lead the end-to-end execution of application development and seamless integration of diverse applications. Extensive experience working in a multi-cloud dynamic team environment. Experience with application deployment using CI/CD and IaC pipelines. Expertise in cloud computing and utilizing public cloud data stores like AWS S3, Azure BLOB, and Azure Files, along with various databases. Good knowledge of identity and access management (IAM), secret management, and encryption techniques. Comprehensive knowledge of security measures for both data at rest and data in motion. Bachelors degree in computer science, Cybersecurity, or related field (or comparable experience). Experience with Kubernetes, microservices and/or serverless computing. Ability to work as a technical lead and provide guidance to non-technical team members. Proactive self-starter with a proven ability to apply critical thinking and problem-solving skills to complex data security challenges. Preferred: Typically a Bachelor's degree, or equivalent work experience Typically five or more years of relevant experience Advanced technical and functional subject matter expert knowledge across security domain areas Certifications such as Solutions Architect, Data Engineer, CISSP, CCSP, OSCP, CCSK, or equivalent. Company: At U.S. Founded in 1968, the company is headquartered in Minneapolis, Minnesota, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level

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