Sr. Lead Security Engineer - AI/ML

Testing Site - JPMC; Plano (TX); Presencial; USD 150 000 - 230 000; Tempo integral

Resumo da oferta

JPMorgan Chase is seeking a Lead AIML Security Engineer in Plano, TX to design, develop, and deliver secure AIML software that prevents misuse and malicious behavior across cloud platforms (AWS, Azure, GCP).

You will review code, lead vendor evaluations, contribute to security design artifacts, and promote a culture of diversity, inclusion, and engineering excellence.

Qualificações

• Proficient in Python, Java or Golang.
• Proficient in SDLC and software engineering fundamentals.
• 5+ years of applied development/coding experience.
• Proficient with IaC tooling such as Terraform.
• Experience with containers and orchestration (Docker, Kubernetes, Helm).
• Extensive experience with at least one public cloud (AWS/GCP/Azure).
• Strong understanding of agile methodologies including CI/CD and security.
• Hands-on experience in design, development, testing, and reliability across AWS/Azure/GCP.
• Experience with AI/ML technologies and GenAI security concepts.

Responsabilidades

• Develop secure, high-quality production code and review others' code.
• Develop AIML security controls across AWS, Azure, and GCP.
• Produce technical design artifacts ensuring coding constraints are met.
• Lead AI security product evaluations with vendors and teams.
• Contribute to engineering communities and events on new tech.
• Foster a culture of diversity, inclusion, and respect within the team.

Conhecimentos

Python

Java

Golang

SDLC

CI/CD

AI/ML

GenAI security

Independent work

Ferramentas

Terraform

Docker

Kubernetes

Helm

AWS

GCP

Azure

Descrição da oferta de emprego

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