Software Engineer Java / Python

About The Team

• Part of the Corporate Technology team responsible for developing applications and providing tech support for corporate functions across JPMorganChase.
• Efforts impact various financial spectrums and divisions including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office.
• Team focuses on meeting and exceeding evolving technology needs and the technology controls agenda.

About the Role

• As an Experienced Software Engineer within the Global Technology team, you will be a member of an agile team.
• Design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
• Potential areas of development include mobile features, big data for trading systems, payment innovations, or cloud platform integration.
• This role is open for Software Engineer II and Software Engineer III levels, with placement determined by a skills-based assessment and interview.

Key Responsibilities

• Participate in the design and development of scalable and resilient systems using Java or Python.
• Execute software solutions, design, development, and technical troubleshooting.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
• Validate AI outputs through peer review, automated testing, and secure coding standards.
• Contribute learnings and reusable patterns to improve broader team effectiveness.
• Apply knowledge of the Software Development Life Cycle (SDLC) toolchain, including AI-assisted development and automation, to enhance value realization.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce or contribute to architecture and design artifacts, ensuring design constraints are met.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse datasets for continuous improvement of software applications and systems.
• Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events exploring new and emerging technologies.
• Foster a team culture of diversity, opportunity, inclusion, and respect.

Requirements & Tech Stack

• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficient in coding in Java or Python.
• Experience in developing, debugging, and maintaining code in a large corporate environment.
• Experience with one or more modern programming languages and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation.
• 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 AI usage.
• Overall knowledge of the Software Development Life Cycle (SDLC).
• 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).

Qualifications (Preferred)

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.