Software Engineer III - Java / React / AWS
JPMorgan Chase & Co. Bengaluru, Karnataka, India
Financial Services · 10,001+ employees
About the role
You will design and deliver secure, scalable technology products while collaborating with agile teams to support business objectives. Responsibilities include technical troubleshooting, code development, and leveraging AI-assisted tools to improve productivity and system architecture.
What they look for
Requirements
The role requires at least 3 years of applied experience in software engineering, including proficiency in Java, SpringBoot, and ReactJS. Candidates must have hands-on experience with system design, cloud technologies like AWS, and a strong understanding of the software development life cycle.
Full description
Join us to advance your software engineering career and make a meaningful impact by building trusted technology solutions. Be part of a team that values innovation and career growth.
As a Software Engineer III at JPMorgan Chase within the Employee Platforms team, you will design and deliver market-leading technology products in a secure, stable, and scalable way. You will play a key role in developing critical technology solutions across multiple technical areas to support the firm’s business objectives. You will collaborate with agile teams and contribute to a culture of innovation and continuous improvement. You will help shape the future of our technology landscape.
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to improve software applications and systems
- Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- 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 practical experience in system design, application development, testing, and operational stability
- Proficient in coding in Java, SpringBoot, and ReactJS
- Proficient in SQL/NoSQL databases
- 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 AWS cloud technologies
- Overall knowledge of the Software Development Life Cycle
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence)
Preferred qualifications, capabilities and skills
- Exposure to AI technologies
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