JPMorgan Lead Security Engineer - Java Python AWS AIML 

India, Karnataka, Bengaluru 

839737945

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 Security engineering concepts and 5+ years applied experience
• Hands on Java and Python development, with hands-on coding experience.
• Experienced with Spring and Spring Boot frameworks.
• Skilled in MySQL and SQL, capable of writing and maintaining stored procedures.
• Knowledgeable in microservices architecture and API security.
• Familiar with cloud computing services, including AWS and Azure.
• Understanding of infrastructure as code (IaC) tools like Terraform and networking protocols such as TCP/IP.

Preferred qualifications, capabilities, and skills

• Familiar in securing AI/ML systems with understanding in AI technologies like Python, TensorFlow, and PyTorch.
• Proficient in the model development lifecycle, including data preparation, model training, testing, and deployment (LLMOps).
• Familiar about AI system threats, attack surfaces, and security controls throughout the MDLC.
• Familiar with AI safety, alignment, cybersecurity concepts, and GenAI security.
• Certifications in cloud security or AI/ML security.
• Familiar in Unix, shell scripting, and container technologies like Docker and Kubernetes.
• Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field.