Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital.
As a Security Engineer III at JPMorgan Chase within Cybersecurity Operations, you serve as a seasoned member of a 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. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives
Job 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 Leads delivery of continuity-related awareness, training, educational activities, and exercises Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Serves as a function-wide subject matter expert in one or more areas of focus Contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on security engineering, computer science, or data science concepts and 3+ years applied experience Proficient in AI/ML techniques and skilled in advanced analytics. Implement machine learning models and algorithms to solve complex business problems. Developing predictive models and machine learning algorithms. Strong proficiency in programming languages such as Python, R, and Java. Familiarity with cloud platforms (e.g., AWS, Azure, GCP). Experience developing security engineering solutions Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Preferred qualifications, capabilities, and skills Java, Kubernetes and AWS certification is a plus Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Proven experience with modern frontend framework and libraries such as React is a plus. Good experience on writing unit tests in Java and React JS for a highly complex enterprise environment.