Software Engineer II - Python, AWS

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 consumer and community banking Risk, 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 4+ years applied experience
• Experience in system design, application development, testing, and operational stability
• Proficiency with distributed computing frameworks such as Apache Spark, especially Python Spark
• Experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, and EMR
• Proficient in coding in PySpark
• Experience in developing, debugging, and maintaining code in a corporate environment
• Experience writing SQL queries and knowledge of Databricks
• Preferred qualifications, capabilities, and skills

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies
• Familiarity with the financial services industries.