JPMorgan Software Engineer III - Full Stack Associate 

United Kingdom, England, London 

77390611

Job responsibilities

• Participates in, design and develop scalable and resilient systems using Java, React & microservices architecture on AWS cloud, to contribute to continual, iterative improvements for product.
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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
• 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 advanced experience
• Full-stack experience building web applications with HTML5 frameworks like React/Redux and services frameworks like Spring Boot (Java)
• Hands-on practical experience in system design, application development, testing, and operational stability with microservices architecture
• Experience developing public cloud applications on AWS/Azure/GCP as well as Kubernetes/Docker.
• Experience in developing, debugging, and maintaining code in a large corporate environment with Java and SQL/no-SQL database querying languages
• API design, development and management experience
• Hands on experience with Agile delivery methodology
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with AI/ML/LLM technologies and frameworks