Description

As a Lead AIML Security Engineer at JPMorgan Chase, you are an integral part of a team that works to develop and deliver software solutions that satisfy functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior.

Job responsibilities

Develops secure high-quality production code, and reviews and debugs code written by others

Develops AIML technical controls software solutions: design, development, and technical troubleshooting across multiple cloud platforms (AWS, Azure, GCP), with the ability to think beyond routine or conventional approaches to building solutions or breaking down technical problems

Produces technical design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Leads AI Security product evaluations with external vendors, startups, and internal teams to drive outcomes-oriented probing of designs, technical capabilities, and applicability for use within information system

Contributes to software engineering communities of practice and events that explore new and emerging technologies

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

 Required qualifications, capabilities, and skills

Advanced in one or more programming language(s):  Python, Java, Golang

Proficient in all aspects of the Software Development Life Cycle

Formal training on software engineering concepts and 5+ years applied development/coding experience

Proficient in cloud infrastructure-as-code (IaC) tools like Terraform

Knowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and Helm

Extensive practical experience with at least one public cloud (Google Cloud Platform, Amazon Web Services)

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Hands on practical experience in design, application development, testing, and operational stability across AWS, Azure, and GCP

Practical experience in AI and machine learning technologies

Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security

Ability to tackle design and functionality problems independently with little to no oversight

 Preferred qualifications, capabilities, and skills

AWS cloud certification(s): AWS Certified Developer – Associate, AWS Certified DevOps Engineer – Professional

Microsoft cloud certification(s): Azure Developer Associate, Dev

Ops Engineer Expert:

Google cloud certification(s): Professional Cloud Developer, Professional Cloud DevOps Engineer