Software Engineer 3 - Backend

• Execute end-to-end software solutions through design, development, testing, and technical troubleshooting, with the ability to think beyond routine approaches to build scalable solutions and break down complex technical problems.
• Create secure, high-quality production code and maintain reliable services and algorithms that integrate appropriately with dependent systems.
• Design and build backend services and APIs using Java and Spring Boot, following clean architecture, performance, resiliency, and security best practices.
• Define and implement API contracts using OpenAPI Specification (Swagger); ensure consistent versioning, backward compatibility, and strong consumer experience.
• Leverage enterprise-authorized AI coding assistant tools to improve code quality, delivery speed, and productivity (e.g., refactoring, unit tests, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness.
• Apply expertise across the SDLC toolchain (CI/CD, automation, observability, and operational readiness) to improve delivery outcomes and reliability.
• Produce architecture and design artifacts for complex applications; remain accountable for ensuring design constraints are implemented correctly in code.
• Build and maintain event-driven and streaming integrations using Kafka, including topic design, message schemas, consumer groups, and reliability patterns.
• Use SQL and scripting to support development, troubleshooting, automation, and operational analysis.
• Build, deploy, and operate services in cloud environments (AWS/Azure), including troubleshooting production issues and optimizing for cost, performance, and stability.
• Use containerization and Docker (and related orchestration patterns where applicable) for consistent build and runtime environments

• Formal training or certification on software engineering concepts and 3+ years applied experience 
• Strong backend experience with hands-on experience in system design, application development, testing, and operational stability
• Strong hands-on expertise in Java and Spring Boot (REST services, dependency injection, testing patterns, performance tuning).
• Experience designing and implementing APIs and defining contracts using OpenAPI Specification.
• Working experience with cloud technologies (AWS and/or Azure) and cloud-native engineering practices.
• Hands-on experience with Docker/containerization and deployment best practices.
• Experience with Kafka (producers/consumers, event-driven architecture patterns, reliability considerations).
• Proficiency in SQL and at least one scripting language for automation, troubleshooting, and data analysis.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage.
• Overall knowledge of SDLC and agile ways of working, including CI/CD, application resiliency, and security.

• Familiarity with modern back-end technologies, patterns, and frameworks (beyond core Spring Boot).
• Understanding of BPMN
• Exposure to broader cloud-native ecosystem (observability, IaC concepts, managed services, security controls).
• Nice to have: front-end knowledge (basic understanding of UI integration patterns, web fundamentals, or modern JS frameworks).

FEDERAL DEPOSIT INSURANCE ACT

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.