Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Full Stack Software Engineer III at JPMorgan Chase within Cross Risk Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts with applied experience Experience as a full stack developer, including advanced proficiency in front-end technologies, specifically React Proficiency in Python programming Proficiency in SQL programming Proficiency in all aspects of the Software Development Life Cycle (SDLC) Experience with automation and continuous delivery methods Hands-on experience in system design, application development, testing, and ensuring operational stability Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills: Proficiency in big data technologies such as Hadoop, Spark, or Kafka for handling large-scale data processing Familiar using tools like GitHub Copilot or Codeium Knowledge or practical experience with cloud-native technologies Knowledge of orchestration technologies, such as Prefect, Airflow, or Dagster