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 Corporate Technology organization, you are an integral part of Data Services Team that works to enhance, build, and deliver trusted market-leading Generative AI 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 troubleshootingWrites secure and high-quality code using the syntax of at least one programming language with limited guidanceDesigns, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implicationsApplies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automationApplies technical troubleshooting to break down solutions and solve technical problems of basic complexityGathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application developmentLearns and applies system processes, methodologies, and skills for the development of secure, stable code and systemsAdds 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 experienceExperience working with large datasets, including developing or managing the development and implementation of attributes and predictive modelsExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesProficiency in programming languages such as Python, TensorFlow, PyTorch, PySpark, numpy, pandas and SQL, along with familiarity with cloud services like AWS/Azure.Strong ability to analyze, interpret, and derive insights from data.Experience across the whole Software Development Life CycleExposure to agile methodologies such as CI/CD, Application Resiliency, and Security, CI/CD, Git, CVE patchingEmerging knowledge of software applications and technical processes within a technical discipline (any data platforms over server based or serverless architecture – Oracle, Postgress SQL, Cloudera Hadoop, Databricks, Snowflakes etc)

 

 

Preferred qualifications, capabilities, and skills

 

Understanding of the SDLC cycles for data platforms, major upgrade releases, patches, bug/hot fixes and associated documentations.