Software Engineer III Java fullstack AWS

Software Engineer III Java fullstack AWS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Digital Channels, you serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical domains and business functions, ensuring they align with and advance the firm’s strategic objectives.

Job responsibilities

•  Design scalable front-end and back-end solutions that align to product outcomes, technical strategy, and enterprise risk expectations.
• Build complex, responsive web applications using React 18 and TypeScript, applying modern patterns for composition, routing, and state/data management.
• Engineer reusable UI systems and component libraries (e.g., Storybook, design tokens, theming) that improve consistency, velocity, and maintainability.
• Optimize user experience and performance by improving Core Web Vitals, bundle size, rendering efficiency, caching behavior, and perceived latency using modern tooling.
• Deliver accessible, WCAG-aligned experiences through semantic HTML, appropriate ARIA usage, keyboard navigation, and practical screen-reader validation.
• Develop production-grade services with Java and Spring Boot using clean architecture, dependency injection, robust configuration, and disciplined error handling.
• Design and integrate APIs with strong contracts (REST/OpenAPI), applying sound practices for versioning, validation, pagination, idempotency, and standardized errors.
• Implement secure coding practices across web and services, addressing common risks (OWASP Top 10) and applying OAuth2/OIDC, CSRF/CORS, and least-privilege authorization patterns.
• Strengthen data and persistence layers by designing schemas, tuning queries, managing migrations (Flyway/Liquibase), and leveraging caching/streaming where appropriate.
• 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.

 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience  
• Hands-on experience delivering software from requirements through design, build, test, and deploy, with a focus on resiliency, maintainability, and security.
• Strong proficiency in modern programming and debugging in an enterprise environment using Java (17/21+) and/or TypeScript.
• Demonstrated front-end engineering capability building complex web applications with React 18, including hooks, component composition, and state/data management patterns.
• Experience building and maintaining reusable UI components and/or design systems with a disciplined CSS approach (e.g., Tailwind, CSS Modules, CSS-in-JS).
• Working knowledge of API design and integration using REST and OpenAPI/Swagger, including versioning, validation, and consistent error contracts.
• Practical secure engineering experience, including OWASP Top 10 awareness and implementing authentication/authorization patterns (e.g., OAuth2/OIDC, JWT/session management).
• Working proficiency in SQL and integrating services with relational databases, including schema design, migrations, and performance considerations.
• Experience operating production systems, including monitoring, troubleshooting, root-cause analysis, and driving durable corrective actions.
•  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.

 

Preferred qualifications, capabilities, and skills

• Experience with Next.js and modern rendering strategies (SSR/SSG/ISR) to improve performance and user experience.
• Familiarity with performance analysis tooling (e.g., Lighthouse, WebPageTest, browser profilers) and systematic Core Web Vitals improvement.
• Experience with observability practices (metrics, tracing, structured logging; OpenTelemetry preferred) and on-call/production support readiness.
• Exposure to event-driven architectures and supporting technologies (e.g., Kafka) and/or caching layers (e.g., Redis).
• Working knowledge of container orchestration and platform delivery practices (Kubernetes preferred).
• Familiarity with GraphQL and/or gRPC where appropriate for service-to-service communication.

 

Experience Level

Senior Level