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Software Engineer III - Java Fullstack

Software Engineer III - Java Fullstack

JP Morgan Chase & Co.
Fresher
Not Disclosed
  • Posted 3 hours ago
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Job Description

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 JPMorganChase within the Commercial & Investment Bank, 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.

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
  • 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.
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms
  • Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems.
  • Hands-on experience in coding Microservices in Java, building UI/UX using JavaScript frameworks (e.g. React, Angular), using Messaging e.g. Kafka, developing databases objects in: Oracle, Cloud Native DBs. Experience implementing opensource frameworks such as Spring Boot, POI, Activiti, Drools
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
  • Familiarity with design patterns and anti-patterns, preferable. Experience with in-memory caching technologies such as Hazelcast, Redis and knowledge of performance engineering, tuning and building technology products for scale would be a plus.

Key Skills

AI-assisted software development tools

CI/CD

Oracle Cloud Native DBs