Software Engineer III - Java, Kafka, AWS, Bigdata/Spark/Flink

JOB DESCRIPTION

As a Software Engineer III at JPMorganChase within the EHP Card Streaming team in Consumer and Community Banking line-of-business, you serve as a key player for CARD streaming and modernization agile team.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

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.

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience

Hands-on practical experience in system design, application development, testing, and operational stability using Java, Kafka, AWS or other cloud technologies like Azure/GCP

Experience in 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.

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Streaming & Event-Driven

Apache Kafka, event-driven architecture, messaging patterns (pub/sub), schema management

Preferred qualifications, capabilities, and skills

Strong soft skills, including presentation, negotiation, mentoring, stakeholder management, problem-solving, analytical, and communication skills.

Data Processing

Apache Spark, Apache Flink (stream processing)

AWS certification.

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