JPMorganChase provides banking, financing, asset management and payment processing services to individuals, businesses, institutions and governments.
Software Engineer II - Java / Python
JPMorganChase is seeking a Software Engineer II to design, develop and troubleshoot secure, scalable software components within an agile team. The role requires hands-on experience in system design, development, testing and operational stability, using Java or Python and AWS or cloud services.
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- Official domain
- jpmorganchase.com
- Open jobs
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Job details
The full description published by JPMorganChase.
Description de l’offre
Ready to build technology that powers a leading global financial firm? In this role, you’ll contribute to secure, stable, and scalable products while sharpening your engineering skills through hands-on delivery. You’ll work in an agile team environment where collaboration, learning, and code quality are central to how we operate. You’ll have opportunities to grow your technical depth, broaden your product exposure, and expand your impact over time. Join us to help deliver modern solutions that make a difference for our clients and business.
Job Summary: As a Software Engineer II in the Commercial & Investment Bank, you will be part of an agile team that enhances, designs, and delivers software components for the firm’s technology products in a secure, stable, and scalable way. You will execute software solutions through design, development, and technical troubleshooting across multiple components of a product, application, or system. You’ll collaborate with teammates and partners to deliver value iteratively while strengthening your engineering craft.
You’ll contribute to a culture that prioritizes resilience, security, and continuous improvement.
Job Responsibilities
Execute standard software solution design, development, and technical troubleshooting
- Write secure, high-quality code in at least one programming language with limited guidance
- Leverage 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
- Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications
- Apply 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
- Apply technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems
Required Qualifications
, Capabilities, and Skills
- Formal training or certification on software engineering concepts with applied experience in delivering software solutions
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code using 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 (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 Software Development Life Cycle
- Exposure to agile methodologies and practices such as CI/CD, application resiliency, and security Preferred
Qualifications
, Capabilities, and Skills
- Experience developing applications using Java or Python
- Experience working with AWS or cloud-based services
Requirements
- software engineering concepts
- system design
- application development
- testing
- operational stability
- modern programming languages
- database querying languages
- Software Development Life Cycle
- agile methodologies
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