JPMorgan Fullstack Java Lead Software Engineer 

United Kingdom, England, London 

588238847

Job responsibilities

• Identifies problems, proposes and executes software solutions, design, development, operate and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure, high quality, full-stack production code; reviews and debugs code
• Support the products you have built through their entire life cycle, including production and incident management
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Collaborates with cross functional teams to understand their domain and data requirements, to help shape the development of products.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience.
• Good knowledge and hands-on practical experience in all aspects of the Software Development Lifecycle (SDLC) including system design, application development, testing, and operational stability
• Excellent knowledge with front-end languages and frameworks (e.g. typescript/react)
• Excellent knowledge with server-side languages and frameworks (e.g. Java/SpringBoot)
• Good knowledge of integration technologies (e.g. GraphQL, REST etc..)
• Experience in developing, debugging, and maintaining code with modern programming languages and database querying languages
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Practical experience of designing and deploying applications on AWS
• Practical cloud native experience
• Knowledge and experience with Data Lakehouse Platforms (e.g. Databricks)
• Knowledge and experience with Python