Software Engineer III - Java And Databricks

Take your software engineering career to the next level by building mission‑critical risk reporting capabilities that help our firm manage and understand risk. Join a collaborative team where you can grow across full‑stack development, cloud engineering, and data platforms. 

Job summary

As a Software Engineer III at JPMorgan Chase within our corporate technology, you build and enhance secure, stable, and scalable technology products that support the firm’s business objectives. You work as a seasoned member of an agile team, partnering with others to deliver critical solutions across multiple technical areas. You help us improve the reliability and quality of our platforms by applying strong engineering practices and thoughtful design. 

Job responsibilities

• Execute software solutions, including design, development, and technical troubleshooting to solve complex problems
• Create secure, high‑quality production code and maintain algorithms aligned to risk reporting systems
• Produce architecture and design artifacts for complex applications and ensure design constraints are met in implementation
• Identify hidden problems and patterns in data and use insights to improve code quality and system architecture
• 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.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Collaborate effectively across teams and functions to deliver critical technology solutions supporting business objectives
• Foster a team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering  concepts and 3+ years applied experience
• Full‑stack development experience using Java with Angular and/or React, plus relational database technologies including SQL
• Hands‑on practical experience in system design, design patterns, application development, testing, and operational stability, with demonstrated problem‑solving skills
• Experience building and operating cloud solutions across private and public cloud environments, including Amazon Web Services and Pivotal Cloud Foundry (PCF)
• Hands‑on experience developing and supporting data platform solutions, including Databricks, and writing database queries including views and stored procedures
• Experience developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle and agile delivery practices, including continuous integration/continuous delivery, application resiliency, and security
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) 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.

Preferred qualifications, capabilities, and skills

• Strong proficiency in C# for building and maintaining production services
• Experience with artificial intelligence tooling and applied engineering use cases
• Familiarity with business intelligence tools such as Tableau
• Prior experience in the Risk Reporting domain