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