Lead Security Engineer

JPMorgan Chase & Co.; Dublin; On-site; EUR 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Security Engineer to design and implement secure data management systems in the public cloud. You will protect data, conduct security reviews, and help maintain robust controls across Data & AI/ML services.

You will mentor engineers, collaborate with IAM, threat intelligence, and network security teams, and contribute to a culture of security and resilience. This role is based in Dublin with on-site work expectations.

Qualifications

• Practical knowledge of cloud security concepts (IAM, encryption, network security, logging).
• Hands-on AWS security experience.
• Interest in Data Analytics/AI/ML including Generative AI and LLMs.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Lead the execution and improvement of information risk and control strategies for Data & AI/ML services in the public cloud.
• Perform risk-based assessments of technology controls for cloud services and architecture.
• Advise business teams on control requirements across cloud architectures.
• Review infrastructure-as-code to ensure security standards alignment.
• Develop and maintain security documentation and support agile processes.

Skills

Cloud security

IAM

Encryption

Networking security

Logging

Tools

Terraform

AWS

Snowflake

Databricks

Job description

Join us to shape the future of cloud security and data protection. You will have the opportunity to build innovative solutions that safeguard critical data and empower our teams to excel in a dynamic environment. Your expertise will help us maintain a high security bar and foster a culture of resilience and collaboration. At JPMorganChase, you can grow your career while making a meaningful impact. We value your passion for technology and commitment to excellence.

Job Summary:

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity & Technology Controls Data Management team, you will design and implement secure data management systems in the public cloud. You will play a key role in protecting data, performing security reviews, and ensuring robust controls are in place. You will collaborate with experts in data protection and governance, contributing to a culture of security and innovation. Your work will directly impact the safety and resilience of our cloud-based services.

Job Responsibilities:

• Lead the 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 diverse cloud architectures
• Review and provide feedback on infrastructure-as-code for cloud platform development, ensuring alignment with security standards
• Develop and maintain documentation, and contribute to agile processes supporting security initiatives
• Collaborate with security teams to ensure seamless integration with security operations, threat intelligence, IAM, and network security
• Mentor junior engineers and contribute to knowledge sharing within the team

Required Qualifications, Capabilities, and Skills:

• Demonstrate practical experience and knowledge in cloud security concepts and best practices, including IAM, encryption, network security, and logging
• Apply hands-on experience in AWS with a focus on security
• Show interest and experience in Data Analytics & AI/ML, including Generative AI and LLMs
• Exhibit strong analytical, problem-solving, and communication skills

Preferred Qualifications, Capabilities, and Skills:

• Hold AWS certifications such as AWS Security Specialty, AWS Solutions Architect Professional/Associate, or AWS Data Engineer Associate
• Demonstrate hands-on experience with cloud engineering, architecture, and infrastructure-as-code (Terraform, etc.)
• Display familiarity with DevOps, CI/CD, and agile methodologies
• Bring experience mentoring or training junior staff
• Show familiarity with SaaS data platforms such as Snowflake, Databricks