Software Engineer III - Python & Databricks

Job Description

Job Description

We have an exciting and rewarding opportunity for you to advance your software engineering career and make a meaningful impact.

Job Summary

As a Software Engineer III at JPMorgan Chase within Corporate Technology, you join a collaborative team to develop and enhance critical software applications. You will help drive technology improvements that support our business objectives and foster a culture of inclusion, respect, and growth.

• Develop workflows and ELT pipelines using PySpark and Databricks.
• Build and maintain ML execution pipelines using Python on Databricks and Streamlit.
• Build and maintain real-time model execution processes using Java and Moneta Boot.
• Execute software solutions, including design, development, and technical troubleshooting, to build innovative applications.
• Create secure, high-quality production code and maintain efficient algorithms.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met.
• Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement.
• Identify hidden problems and patterns in data to drive enhancements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events focused on emerging technologies.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Good working knowledge of AWS, Databricks, PySpark, Python, Java, and Moneta Boot.
• Hands-on experience in system design, application development, testing, and operational stability.
• Skilled in coding in one or more programming languages, such as Python or Java.
• Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages.
• Knowledge of the Software Development Life Cycle.
• Understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated knowledge of software applications and technical processes within disciplines such as cloud computing, artificial intelligence, machine learning, or mobile development.

• Experience with Databricks or AWS S3
• Exposure to cloud technologies or distributed computing

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