As a Software Engineer II, you'll design, develop, and troubleshoot software solutions, working with large datasets and enhancing generative AI products at JPMorgan Chase.
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 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 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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Experience working with large datasets, including developing or managing the development and implementation of attributes and predictive models
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Proficiency 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 Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, CI/CD, Git, CVE patching
- Emerging 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.
Top Skills
AWS
Azure
Cloudera Hadoop
Databricks
Numpy
Oracle
Pandas
Postgress Sql
Pyspark
Python
PyTorch
Snowflakes
SQL
TensorFlow
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