Software Engineer III - Python, AWS , GenAI/ML

You have an exciting and rewarding opportunity to advance your software engineering career as a Software Engineer III at JPMorgan Chase in the Consumer and Community Banking - Wealth Management division. Joining an agile team, you will play a key role in designing and delivering cutting-edge technology products that are secure, stable, and scalable. Your responsibilities will include executing software solutions, designing and troubleshooting technical issues, and developing innovative approaches to problem-solving. You will be accountable for creating secure and high-quality production code, maintaining algorithms, and ensuring that design constraints are met through software code development. Additionally, you will be involved in gathering, analyzing, and synthesizing data sets to improve software applications and systems continuously. By proactively identifying hidden problems and patterns in data, you will drive enhancements to coding hygiene and system architecture. As a Software Engineer III, you will contribute to software engineering communities of practice and events focusing on new and emerging technologies. Moreover, you will promote a team culture of diversity, equity, inclusion, and respect. To qualify for this role, you should have formal training or certification in software engineering concepts along with at least 3 years of applied experience. You must possess hands-on experience in system design, application development, testing, and operational stability. Proficiency in coding in one or more languages is essential, as well as experience in developing, debugging, and maintaining code in a corporate environment using modern programming languages and database querying languages. A solid understanding of the Software Development Life Cycle and agile methodologies such as CI/CD, Application Resiliency, and Security is required. Preferred qualifications include familiarity with modern front-end technologies and exposure to cloud technologies. Your expertise in Pyhton, AWS, Gen AI/ML, and demonstrated knowledge of software applications and technical processes within a technical discipline will be valuable assets in this role.,