JPMorganChase provides banking, financing, asset management and payment processing services to individuals, businesses, institutions and governments.
Software Engineer III- Java
Within JPMorganChase's International Private Bank, the Software Engineer III designs and develops secure, scalable software solutions in an agile team. The role uses Java, Python, REST APIs, Spring Boot, Kafka and relational databases, among other technologies, with AI-assisted coding tools.
- Level : Mid-level
- Schedule : Full-time
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Java
- REST APIs
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Spring Boot
-
Oracle
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Postgres
- Sybase
- MS SQL
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Kafka
-
Python
- CI/CD
Information about JPMorganChase
- Official domain
- jpmorganchase.com
- Open jobs
- 394
Job details
The full description published by JPMorganChase.
Description de l’offre
Job Summary: As a Software Engineer III at JPMorgan Chase within the International Private Bank, you will play a key role in designing and delivering secure, stable, and scalable technology products. You’ll work as part of an agile team, carrying out critical technology solutions across multiple technical areas to support our business objectives. Your contributions will help improve software applications and systems, while fostering a culture of innovation and collaboration.
You will be empowered to leverage advanced tools and practices to drive continuous improvement and deliver high-quality results.
Job Responsibilities
- Execute software solutions, design, development, and technical troubleshooting to build innovative solutions and address complex technical challenges
- Create secure, high-quality production code and maintain algorithms that integrate seamlessly with systems
- Leverage enterprise-authorized AI coding assist tools to enhance code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards
- Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation, to maximize automation value
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met during software development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement
- Proactively identify hidden problems and patterns in data to improve coding hygiene and system architecture
Required Qualifications
, Capabilities, and Skills:
- Formal training or certification on software engineering concepts
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with ability to critically evaluate and refine AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred
Qualifications
, Capabilities, and Skills:
- Familiarity with REST APIs and cloud-based microservices architectures (ideally Spring Boot), including designing and scaling applications in cloud environments
- Working knowledge of relational databases such as Oracle, Postgres, Sybase, or MS SQL
- Experience with messaging and streaming technologies and stream-based architectures (e.g., Kafka)
- Experience developing and maintaining applications in Python, including scripting, automation, or integration with other systems
- Strong interpersonal and communication skills, with the ability to collaborate effectively across large, cross-functional teams
- Open-minded, delivery-focused mindset with a passion for building an innovative engineering culture
Requirements
- Formal training or certification on software engineering concepts
- system design
- application development
- testing
- operational stability
- agile methodologies
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