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Software Engineer III - Full Stack (Python and React)

JPMorgan Chase
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
awsdjangoflaskgitpythonreact

Full Job Posting

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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