Join us to shape the future of secure Data & AI/ML services in the public cloud. You’ll have the opportunity to make a real impact by leading risk and control strategies that safeguard our technology. We value your expertise and encourage you to grow your skills in a collaborative, innovative environment. As part of our team, you’ll help drive continuous improvement and knowledge sharing. Discover a place where your contributions matter and your career can thrive.

As a Cloud Security Engineer – Data & AI/ML at JPMorgan Chase in our Data & AI/ML Cloud Security team, you will lead efforts to secure cloud-based services and platforms. You will work closely with business technology teams to ensure robust controls and best practices across diverse cloud architectures. Your role will involve mentoring others, collaborating with security teams, and supporting agile processes. You will help shape our approach to risk management and contribute to a culture of innovation and security.

Job Responsibilities:

• Lead execution and continuous improvement of information risk and control strategies for Data & AI/ML services in the public cloud
• Conduct and oversee risk-based assessments of technology controls for Data & AI/ML cloud services, platforms, and architecture
• Advise and guide business technology teams on control requirements and best practices across cloud architectures
• Review and provide feedback on infrastructure-as-code for cloud platform development, ensuring alignment with security standards
• Develop and maintain documentation, contributing to agile processes supporting security initiatives
• Collaborate with security teams to integrate with security operations, threat intelligence, IAM, and network security
• Mentor junior engineers and promote knowledge sharing within the team

Required Qualifications, Capabilities, and Skills:

• Practical knowledge of cloud security concepts and best practices, including IAM, encryption, network security, and logging
• Hands-on experience in AWS with a focus on security
• Demonstrated interest and experience in Data Analytics & AI/ML, including Generative AI and LLMs
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications, Capabilities, and Skills:

• AWS certifications such as AWS Security Specialty, AWS Solutions Architect Professional/Associate, or AWS Data Engineer Associate
• Hands-on experience with cloud engineering, architecture, and infrastructure-as-code (e.g., Terraform)
• Familiarity with DevOps, CI/CD, and agile methodologies
• Experience mentoring or training junior staff