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 onsoftware 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.
