JPMorgan Chase
From JPMorgan Chase's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Kick-start your software engineering career as an entry-level Software Engineer I. Be part of a team that is pushing the boundaries of what's possible.
As a Software Engineer I at JPMorganChase within the CIB Payment Technology, you are part of an agile team that works to enhance, design, and deliver the software components to the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
Job responsibilities
Executes basic software solution design, development, and technical troubleshooting, breaking down routine technical tasks to troubleshoot and solve issues
Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according to sensitivity and security requirements.
Writes secure and high-quality code using the syntax of at least one programming language with peer guidance
Interprets architecture and design representations as well as nonfunctional requirements to develop secure, stable software against a defined architecture
Actively applies automation to reduce manual toil in the Software Development Life Cycle and addresses basic code quality issues
Gathers, analyzes, and synthesizes basic data sets in service of technical troubleshooting and generating insights to drive continuous improvements
Applies reuse-first, AI-assisted practices within SDLC/toolchain automation to reduce manual toil while maintaining security, resiliency, and traceability/auditability expectations.
Required qualifications, capabilities, and skills
Baseline knowledge of software, applications and technical processes within a given technical discipline
Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements.
Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an inclusive and innovative culture
Demonstrated ability to code in one or more languages
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Proficiency in developmental toolsets
Exposure to cloud technologies (preferred)
Exposure to cloud technologies
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