Software Engineer II- Linux C/C++ systems programming

JPMorgan Chase & Co.•Jersey City, NJ

21h•$123,500 - $150,000

About The Position

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 Sector, Employee Platforms teams, you will develop, optimize, and maintain Linux system-level software components that require high throughput, low latency, and strong fault tolerance. 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.

Requirements

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Working knowledge of C/C++ in Linux environment
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Nice To Haves

Knowledge of GoLang is a plus

Responsibilities

Design, implement, and maintain Linux system software in C/C++, prioritizing performance, stability, and recoverability in a critical runtime environment.
Diagnose and resolve complex issues across the stack using advanced debugging and profiling techniques, with a focus on root-cause analysis, regression prevention, and measurable performance improvement.
Contribute to WebKit-based GUI capabilities where needed, ensuring responsive rendering, robust event handling, and clean integration with underlying system services.
Integrate and troubleshoot device connectivity involving common computer peripherals and I/O interfaces, translating device-level requirements and behaviors into reliable software operation and clear operational diagnostics.
Apply Agile SDLC practices, including iterative delivery, code review, automated testing, and continuous integration habits aligned to team standards.
Maintain strong tooling and automation habits to improve code quality and delivery speed, while keeping solutions maintainable, testable, and production-ready.
Collaborate across engineering, QA, product, and adjacent platform teams to align requirements, surface risks early, and deliver predictable outcomes.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.