Job Description

JOB DESCRIPTION

You're ready to gain the skills and experience needed to grow within your role and advance your career -- and we have the perfect software engineering opportunity for you.


As a Software Engineer II at JPMorganChase within Employee Platforms, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Hands-on practical experience in system design, application development, testing, and operational stability Experience in Java for backend development, with additional experience in Python for scripting and automation, and strong SQL skills for relational database management. Experience using Databricks for large-scale data processing and analytics. Experience with AWS services such as S3, Lambda, Glue, and Redshift. Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Experience with data modeling, ETL pipeline development, and data transformation. Knowledge of big data technologies such as Apache Spark and Kafka. Exposure to fullstack development, including frontend frameworks, is a plus.

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