Security Engineer III – AI/ML
| Company | JP Morgan Chase |
|---|---|
| Location | Plano, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 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
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
Preferred Qualifications
- 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