Software Engineer - Scalable Systems & AI-Driven Dev

ApplyMint; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking an Experienced Software Engineer to join the Global Technology team. You will design and deliver trusted, scalable technology products in a secure environment, potentially working on mobile features, big data for trading systems, or cloud platform integration.

The role emphasizes scalable design, contributing to architecture artifacts, and leveraging AI-assisted tools to improve code quality and delivery speed, while ensuring security and resiliency across the SDLC.

Qualifications

• Hands-on practical experience in system design, application development, testing and operational stability.
• Proficient in coding in Java or Python languages.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Responsibilities

• Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Java

Python

System design

Software testing

AI-assisted development tools

CI/CD

Security

Cloud familiarity

Tools

Enterprise AI tools

SDLC tooling

Cloud platforms

Job description

JPMorganChase is seeking an Experienced Software Engineer to join the Global Technology team. You will design and deliver trusted, scalable technology products in a secure environment, potentially working on mobile features, big data for trading systems, or cloud platform integration.

The role emphasizes scalable design, contributing to architecture artifacts, and leveraging AI-assisted tools to improve code quality and delivery speed, while ensuring security and resiliency across the SDLC.