Develop and maintain scalable Python backend services and React.js interfaces within an AWS microservices environment. Design reusable components, optimize application performance, conduct code reviews, and collaborate with product, design, and engineering stakeholders. Use enterprise-authorized AI-assisted development tools responsibly for coding, testing, documentation, and automation while validating security and quality. Translate business requirements into technical solutions and stay current with full-stack engineering practices.
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 Asset and Wealth Management Technology team, 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. Your role will require to collaborate with cross-functional teams to define requirements and optimize application performance.
Job Responsibilities
- Develop and maintain robust backend services using Python, with a focus on scalability and performance.
- Proficiency in AWS and designing scalable microservices-based solutions.
- Design and implement UI features using React.js.
- Build reusable components and libraries for future use.
- Optimize applications for maximum performance and scalability.
- Collaborate with product managers, designers, and other developers to define and implement innovative solutions for product direction, visuals, and user experience.
- 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.
- Conduct code reviews and provide constructive feedback to team members.
- Stay up-to-date with emerging technologies and best practices in both backend and front-end development.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong proficiency in Python and experience with backend frameworks (Flask/Django).
- Experience in AWS environments with microservices architecture and RESTful APIs.
- Thorough understanding of React.js and its core principles and experience with popular React.js workflows (such as Redux or Flux).
- 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.
- Ability to understand business requirements and translate them into technical requirements.
- A knack for benchmarking and optimization and familiarity with code versioning tools such as Git.
- Strong understanding of UX principles and ability to create intuitive user interfaces.
- Ability to collaborate effectively with business stakeholders, product owners, designers, and platform teams.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
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