Software Engineer III / Python/ Big Data / AWS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate Technology - Engineering and Architecture Data Solutions team, you will be a key member of an agile team, tasked with designing and delivering cutting-edge technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains to support the firm's business goals effectively. Job Responsibilities Assist in the development and implementation of software solutions, contributing to design and troubleshooting efforts. Support the creation of secure and high-quality production code, ensuring algorithms run effectively with relevant systems. Collaborate in producing architecture and design artifacts for applications, ensuring adherence to design constraints. Help gather, analyze, and visualize data from diverse sources to support the continuous improvement of software applications and systems. Identify and report potential issues and patterns in data, contributing to improvements in coding practices and system architecture. Participate in software engineering communities of practice and events to explore new and emerging technologies. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and 3+ years applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficient in coding in Python and familiar with technologies such as Spark, EMR, Airflow, Cassandra, S3, and Kafka. Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages. Practical cloud-native experience in AWS. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, networking, etc.). Preferred Qualifications, Capabilities, and Skills Practical LLM use case development experience using OpenAI Azure. Familiarity with modern LLM techniques

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