Software Engineer III - Java Backend, Kafka, AWS, DevOps

Role Overview

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking Fraud Risk Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience building enterprise grade backend systems using Java, Spring, Kafka and DBMS (RDBMS or NoSQL)
• Experience in developing, debugging, and maintaining code in a large corporate environment
• Hands-on experience using enterprise-authorized AI-assisted software development tools
• Understanding of responsible AI use in engineering workflows, including data sensitivity and security expectations
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience with latest DevOps practices and tools

Nice to Have

• Exposure to cloud platforms (AWS) & familiarity with Kafka
• Experience with deploying and managing containerized microservices in AWS
• Experience setting up active system monitoring, centralized logging, and alert configurations using Prometheus, Grafana, Dynatrace, or Datadog

Skills

• Java
• Spring
• Kafka
• AWS
• DevOps