Software Engineer III: Big Data/Python/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