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 JPMorgan Chase within the Asset & Wealth Management, 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. Maintain stability and resiliency of the BI platform on AWS, and work with consumers to ensure their needs are met and any gaps prioritized in a timely manner. 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, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience building and leveraging scalable data platforms  Solid hands on experience working on AWS cloud. Hands on experience with Python, PySpark, Strong understanding of building spark jobs and tuning spark to meet or exceed performance benchmarks Experience in AWS technologies like EMR, ECS, Lambdas, APIs, Redshift, S3, Athena, RDS, or Opensearch. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred qualifications, capabilities, and skills

Experience with building data engineering pipelines and reporting tools a plus Exposure to cloud technologies