Software Engineer III - Java
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Key skills for this role
Key Skills for This Role
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Job responsibilities
- Tackle complex technical problems and think beyond conventional approaches to build scalable, resilient solutions — from service design through debugging and production stability
- Build and improve automation and AI-based tooling that raises engineering leverage across the team, and contribute reusable patterns back to the group
- Leverage enterprise-authorized AI coding-assist tools (code generation/refactoring, unit-test creation, documentation) to improve quality, speed, and productivity across complex deliverables — validating outputs through peer review, automated testing, and secure coding standards
- 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
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
- Develop, debug, and maintain production services in a large enterprise environment using modern programming languages and database querying languages
- Collaborate across engineering and product teams to deliver platform capabilities that support global investment operations at scale
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Strong hands-on proficiency in Java — designing, developing, testing, debugging, and maintaining production services in a large enterprise environment
- Experience developing, debugging, and maintaining code in a large corporate environment with 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, 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
- 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
- Experience building on AWS cloud services (compute, storage, messaging, and access management)
- Experience with Terraform or other infrastructure-as-code tools for provisioning and managing cloud infrastructure
- Interest or experience in AI/agentic tooling or developer-automation platforms
- Exposure to investment or portfolio analytics, performance measurement, or fixed income domains
- Familiarity with modern front-end technologies
About JPMorgan Chase
Global financial services and investment banking firm.
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