Lead Security Engineer AI / ML Laboratory Technical Application Owner

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job responsibilities

Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs.

Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability.

Responsible for triaging based on risk assessments of various threats and managing resources to cover the impact of disruptive events.

Adds to team culture of diversity, opportunity, inclusion, and respect.

Oversees the integration and functionality of the platform with AWS services, ensuring the platform supports the full ML lifecycle, including data preparation, model training, testing, and deployment.

Ensures that the platform adheres to JPMorgan Chase's data protection policies and AWS security best practices. Implements access controls and encryption to safeguard sensitive data and models.

Monitors the performance of ML models and the platform's infrastructure on AWS. Optimizes resource usage and scaling capabilities to handle varying workloads efficiently.

Collaborates with data scientists, developers, and business units to understand requirements and provide updates on platform capabilities. Facilitates training sessions and support for users of the platform.

Identifies risks related to model accuracy, data privacy, and cloud service disruptions. Implements strategies to mitigate risks, such as regular model evaluations and backup solutions.

Guides new users through sandbox setup and access; manages secure user permissions and access; assists with running and troubleshooting experiments; helps analyze results; leads result reviews and supports go/no-go decisions with leadership; maintains user communication for feedback and improvements.

Required qualifications, capabilities, and skills

Formal training or certification in Security Engineering concepts and 3+ years of applied experience.

Skilled in planning, designing, and implementing enterprise-level security solutions.

Advanced proficiency in one or more programming languages.

Deep knowledge of software application development and technical processes, with expertise in disciplines such as cloud, artificial intelligence, machine learning, mobile, etc.

Extensive experience with threat modeling, discovery, vulnerability, and penetration testing.

Ability to independently tackle design and functionality problems with minimal oversight.

Proficiency in AWS services, including EC2, S3, Lambda, SageMaker, and other relevant tools for ML model deployment. Strong understanding of machine learning concepts and workflows. Experience with Terraform.

Ability to write and maintain scripts for automation and patch deployment. Familiarity with programming languages such as Python, Java, or others used in ML and cloud environments.

Experience managing cloud-based infrastructure and applications. Knowledge of system monitoring tools and techniques.

Understanding of cybersecurity principles and practices, especially in cloud environments. Ability to implement security patches and ensure compliance with industry standards.

Strong analytical skills to diagnose and resolve technical issues related to the platform and its AWS integration.

Skills in managing projects related to patch creation and deployment, with ability to coordinate with cross-functional teams and manage timelines effectively.

#J-18808-Ljbffr