JPMorgan Chase & Co. (NYSE: JPM) is a top financial services firm with over $2 trillion in assets, operating in more than 60 countries. As a leader in investment banking and various financial services, the firm’s Cybersecurity & Technology Controls (CTC) group partners with all business lines to enhance cybersecurity, access management, and controls. The CTC group focuses on enabling business operations while ensuring protection and resilience.
As a Senior Lead Cloud Security Engineer at JPMorgan Chase within the Chief Data Analytics Office (CDAO) group, your primary responsibility will be to ensure that Data & AI/ML services in Public Cloud are designed and implemented in a secure and compliant manner. You will play an important role in identifying and managing risk related issues and actions with respective technology. You will have an eye for detail and an ability to see the big picture across security issues.
Job Responsibilities:
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Lead the execution and continuous improvement of information risk and control strategies to secure Data & AI/ML services in public cloud
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Conduct and oversee risk-based assessments of technology controls for Data & AI/ML cloud services, platforms, and architecture.
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Advise and guide business technology teams on firm control requirements and best practices across diverse cloud architectures.
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Review and provide feedback on infrastructure-as-code for cloud platform development, ensuring alignment with security standards.
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Develop and maintain documentation, and contribute to agile processes supporting security initiatives.
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Collaborate with security teams to ensure seamless integration with security operations, threat intelligence, IAM, and network security.
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Mentor junior engineers and contribute to knowledge sharing within the team.
Required qualifications, capabilities and skills
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Practical experience and knowledge in cloud security concepts and best practices including IAM, encryption, network security, logging etc.
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Hands on experience in GCP focusing on security
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Demonstrable interest and experience in Data Analytics & AI/ML including Generative AI and LLMs
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Strong analytical, problem-solving, and communication skills.
Preferred qualifications, capabilities and skills
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GCP certifications such as Professional Cloud Security Engineer, Professional Cloud Architect, Associate Cloud Engineer etc.
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Hands-on experience with cloud engineering, architecture, and infrastructure-as-code (Terraform, etc.).
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Familiarity with DevOps, CI/CD, and agile methodologies.
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Experience mentoring or training junior staff.