JPMorganChase is looking for a Security Engineer III to play a critical role in delivering software solutions that prevent misuse, circumvention, and malicious behavior, ensuring tamper-proof and audit-defensible methods across various technical areas to support business objectives.
Requirements
- Experience developing security engineering solutions
- Proficient in coding in one of more languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
- Proficiency in developing ML pipelines and using a wide range of algorithms, including deep learning models like CNN, RNN, LSTM, GRU, BERT, and more.
- Strong backend and frontend development skills, with experience in cloud environments (AWS, Google Cloud, Azure).
- Expertise in Python, SQL, and Spark for large-scale applications.
Responsibilities
- Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners)
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities
- Model Development: Design and implement custom data models and algorithms for cybersecurity, using A/B testing to evaluate model quality.
- Advanced AI Techniques: Apply cutting-edge AI/ML/DL methods, including Generative AI, Transfer Learning, and Reinforcement Learning, to enhance cyber data analysis.
- LLM Tools and Development: Lead the selection, fine-tuning, and application development of large language models (LLMs), focusing on innovative LLM-backed applications and advanced methods like Retrieval-Augmented Generation (RAG).
- Collaboration and Implementation: Work with various teams to implement models, monitor outcomes, and ensure data accuracy.
Other
- Formal training or certification on Software Engineering concepts and 3+ years applied experience
- Leads delivery of continuity-related awareness, training, educational activities, and exercises
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Proficiency in managing GPU resources in frameworks like PyTorch or TensorFlow.
- Experience with cloud-native development, CI/CD pipelines, and Agile methodology.
