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 - Java Full Stack Developer + AWS + AI at JPMorgan Chase within the Commercial & Investment Bank, you'll 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
- Applies practical experience of Agile software methodologies
- Proficiency in one or more programming languages like java or python
- 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.
- Proficiency in using AI for tech tools(copilot, LLM, calude code etc) for SDLC
- Experience in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular
- Experience building cloud native or cloud ready applications using AWS
- Exposure to Container technologies like Kubernetes
- Executes standard software solutions, design, development, testing, and deployment
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies technical skills to break down solutions and solve technical problems
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands on Experience in Java, Front End, AWS, AI tools and Platform or Product Development
- Exposure to tools related to CI/CD, Application Resiliency, and Security
- 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.
- Exposure to microservice architecture
- Experience in using AI productivity tools like co-pilot, LLM ,Claude code
- Experience in prompt engineering, proficiency in developmental toolsets and Knowledge of industry-wide technology trends and best practices
- Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS).
- Hands-on experience in system design, application development, and testing
- Ability to work in large, collaborative teams to achieve organizational goals and Passionate about building an innovative culture
Preferred Qualifications, Capabilities, And Skills
- Bachelor's Degree in computer science engineering or equivalent
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
