Software Engineer II: Grow, Build Secure, Scalable Apps

JPMorgan Chase & Co.

United States

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

JPMorganChase is recruiting a Software Engineer II to join the Commercial and Investment Banking software team. You will design, develop, and troubleshoot secure, scalable software components within enterprise-grade products.

You will work in an agile environment, contributing to the full software development lifecycle and embracing AI-assisted development tools to improve quality and speed while ensuring secure coding standards.

Qualifications

Hands on experience on React Js, Java, Spring Boot microservices, Oracle Databases, Kafka messaging, GKP deployments.
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.
Demonstrable ability to code in one or more languages.
Experience across the whole Software Development Life Cycle.
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
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.

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 technical troubleshooting to break down solutions and solve technical problems of basic complexity.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
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.
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, opportunity, inclusion, and respect.