Software Engineer III Java

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth management, you have an exciting and rewarding opportunity to elevate your software engineering career. You will be a seasoned member of an agile team, responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role involves executing software solutions, design, development, and technical troubleshooting with the ability to innovate beyond routine approaches. - Executes software solutions, design, development, and technical troubleshooting with innovative problem-solving skills. - Creates secure and high-quality production code, maintaining algorithms that run synchronously with systems. - Produces architecture and design artifacts for complex applications, ensuring design constraints are met. - Gathers, analyzes, synthesizes, and develops visualizations and reporting from diverse data sets for software improvement. - Collaborates with product and UAT teams to understand business requirements and support testing phases. - Proactively identifies hidden problems and patterns in data to enhance coding hygiene and system architecture. - Contributes to a team culture of diversity, equity, inclusion, and respect. In terms of qualifications, capabilities, and skills required for this role: - Formal training or certification in software engineering concepts with a minimum of 3 years of applied experience is essential, along with a Bachelor's degree. - Proficiency in design, coding, testing, and debugging skills in Java and REACT JS Framework. - Advanced knowledge in Java 17, Spring Boot, and Database technologies. - Proficiency in two or more technologies such as Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL. - Strong hands-on experience in Cloud Native Architecture (Azure / AWS) and Containerization / Kubernetes. - Solid understanding of agile methodologies, CI/CD, and Non-Functional requirements like Resiliency, performance, and Security. - Strong skills in object-oriented analysis and design, data structures, algorithms, and 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 (e.g., cloud, artificial intelligence, machine learning, etc.). Preferred qualifications, capabilities, and skills that would be advantageous for this role: - Understanding or experience with Language Models (LLM). - Experience with Machine Learning or AI technologies. - Exposure to cloud technologies and Python programming language. - Independent and self-motivated with strong interpersonal and communication skills.,