Lead Security Engineer- Full Stack

Description

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, 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

Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems

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

Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls

Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability

Conducts discovery, vulnerability, penetration testing, and threat scenarios on multiple organizational assets to identify and assess if vulnerabilities are present, and executes threat modeling for multiple applications including external applications interacting with the internal JPMorgan Chase network

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

Required qualifications, capabilities, and skills

Formal training or certification on AI/ML concepts and 5+ years applied experience

Proficiency in languages commonly used in AI/ML, such as Python, R, and Java, optionally C/C++.

Experience with full stack development languages: JavaScript, HTML, CSS, and frameworks such as Node.js, React, or Angular.

Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Deep expertise in NLP and LLMs is required

Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.

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

Proficiency in building responsive and interactive user interfaces using modern frontend frameworks and libraries.

Understanding of UX/UI design principles

Preferred qualifications, capabilities, and skills

Experience effectively communicating with senior business leaders

Relevant certifications in AI/ML, cloud computing, or fullstack development preferred.