Lead Software Engineer - Java Fullstack

As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

• 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
• Work closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Adds to team culture of diversity, equity, inclusion, and respect
• Have a defined goal based approach and adhere to committed timelines.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Extensive Design, coding, testing and debugging skills in Java and REACT JS Framework
• Proficient in coding in Java 17, Spring Boot, and Databases
• Advanced in two or more technologies - Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
• Cloud - Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
• Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security.
• Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns
• Hands-on practical experience in system design, application development, testing, and operational stability
• Demonstrated knowledge of software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning etc)
• Excellent written and verbal communication skills
• Excellent dealing with ambiguity skill

• Understanding or experience with Language Models (LLM).
• Experience with Machine Learning or AI technologies.
• Exposure to cloud technologies
• Exposure to Python programming language
• Independent and self-motivated
• Strong interpersonal and communication skills