Job Description

Join us for an exciting opportunity to advance your software engineering career and contribute to impactful technology solutions.

As a Software Engineer II at JP Morgan Chase within the Corporate Technology, you work with us to enhance and deliver innovative technology products in a secure, stable, and scalable way. You will develop your skills as you design, build, and troubleshoot software components, supporting the firm’s business objectives. Together, we foster a collaborative and inclusive team culture.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting for technology products and applications
• Write secure and high-quality code using at least one programming language with peer guidance
• Interpret architecture and design representations to develop stable software aligned with defined requirements
• Apply automation to reduce manual tasks in the Software Development Life Cycle
• Gather, analyze, and synthesize data sets to drive continuous improvements
• Break down routine technical tasks to troubleshoot and solve issues

Required qualifications, capabilities, and skills

• 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
• Proficient in coding in one or more languages like AWS, Spring boot, Database, Rule Engines
• Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience with end-to-end lifecycle of IBM Operational Decision Management (ODM) tool and worked across requirement understanding, analysis, design, build and rule deployment phases
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern backend technologies
• Exposure to cloud technologies
• Hands-on experience using AI/LLM adaption tools such as Co-pilot
• Experience with rule engines such as IBM ODM, Drools, or Blaze