JPMorgan Lead Software Engineer - UI React 

India, Karnataka, Bengaluru 

284706567

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Knowledge of frontend framework(s) viz. based on React & Typescript and Material-UI.
• Ideally experience with flow/diagram/tree frameworks i.e. React Flow.
• Experience with UX / UI Design and working with UI design systems.
• Experience in testing and tuning UI performance
• Exposure to agile methodologies including CI/CD, application resiliency, and security.
• Experience in Test-Driven Development (TDD) and pair programming.
• Adaptability to changing project requirements and technologies.
• Follow security best practices in code and data handling.

Preferred qualifications, capabilities, and skills

• A solid understanding of the modern application infrastructure design and non-functional requirements (security, scalability, availability, etc).
• Experience in terraform and infrastructure as code principles using Terraform.
• Demonstrated ability to code in Java/Groovy/Spring Boot with knowledge of RESTful services.
• Knowledge of using caches like Apache Ignite as well as structured/semi-structured forms of persistence.
• Exposure to Elastic / Open Search for vectorized/faceted search.
• Exposure to data sourcing from other applications and building reusable connectors.
• Knowledge of using LLM and Machine Learning libraries/services including OpenAI/ChatGPT and Tensorflow