Cloud

JPMorgan Chase & Co.•Jersey City, NJ

3d•$133,000 - $185,000

About The Position

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Minimum 3 years of Java experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
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.
Hands-on experience with Spring boot
Proficiency in REST API
Proficient in Kafka
Advanced understanding of multi-region deployments
Demonstrated proficiency in Artificial Intelligence(e.g., Co-Pilot, LLM)
In-depth knowledge of the financial services industry and their IT systems
Cloud infostructure experience
Event-driven architecture experience

Nice To Haves

AWS experience
Terraform experience
Experience working with Blue-Green/Canary deployments
Experience working with observability tools (e.g., Grafana, Prometheus)
Experience with Cassandra
Experience with performance optimization and trouble shooting

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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.