Software Engineer III -Java, Cloud

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you will be a seasoned member of an agile team designing and delivering trusted market-leading technology products in a secure, stable, and scalable way. Your responsibilities include executing software solutions, design, development, and technical troubleshooting with the ability to build solutions beyond routine or conventional approaches. You will create secure and high-quality production code, maintain algorithms, and produce architecture and design artifacts for complex applications. You will gather, analyze, synthesize, and develop visualizations and reporting from diverse data sets to continuously improve software applications and systems. Proactively identifying hidden problems and patterns in data, you will use these insights to drive improvements to coding hygiene and system architecture. Additionally, you will contribute to software engineering communities of practice, explore new technologies, and foster a team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills for this role include formal training or certification in software engineering concepts with at least 3 years of applied experience. You should have 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 is essential. Proficiency in coding in Java 17, Spring Boot, and SQL Databases is required, along with advanced knowledge in technologies such as Functional Programming, BPMN, Microservices, RESTful webservices development, JMS, Kafka, and Hibernate. Experience with JDBC/JPBA frameworks like Hibernate or MyBatis is also necessary. Additionally, you should have hands-on experience in Cloud Native Architecture, specifically Azure or AWS, and Containerization or Kubernetes. A solid understanding of agile methodologies, CI/CD, and non-functional requirements like resiliency, performance, and security is crucial. Demonstrated knowledge of software applications and technical processes within a technical discipline, such as cloud, artificial intelligence, machine learning, or mobile, is desired. Preferred qualifications, capabilities, and skills include being independent and self-motivated, strong interpersonal and communication skills, and exposure to cloud technologies.,