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.
Job Responsibilities
- 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.
Required Qualifications, Capabilities, And Skills
- 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.
Preferred Qualifications, Capabilities, And Skills
- Experience with Databricks or AWS S3
- Exposure to cloud technologies or distributed computing
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