JPMorganChase
Software Engineer III - .Net Core/Java and React/Angular with AWS
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Develops secure, scalable full-stack software solutions for JPMorganChase using .NET Core or Java, React or Angular, AWS, REST services, and modern CI/CD practices. Responsibilities include coding, troubleshooting, architecture and design documentation, data analysis, application resiliency, security, testing, and agile collaboration. The role also requires responsible use and validation of enterprise AI-assisted development tools.
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 Consumer and Community Banking, 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
As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, 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
- Collaborate with Engineering teams to understand technical requirements as well as performance, scalability, quality, and security concerns.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience in Fullstack development
- Extensive technical experience and development expertise in .Net Core or Java, Web services (REST), Angular or React.
- Experience with cloud offerings AWS
- Knowledge of CI/CD tools like Jenkins, Docker, Spinnaker etc.
- Good knowledge in HTML5, CSS3, Bootstrap and scripting languages like JavaScript, JQuery etc.
- Proficient with OOPS and Design principles. Expertise in writing clean, secure and refactored code.
- Knowledge and hands-on Experience with Test Driven Development. Experience with relational and non-relational Database technologies like SQL, MongoDB.
- Proficient with Git or any source code management tool.
- 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
JPMorganChase Mumbai, Maharashtra, IND Office
B11, B9, B10, Nirlon Knowledge Park, near Mrinal Tai Gore Flyover, Cama Industrial Estate, Mumbai, Maharashtra, India, 400063
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