JPMorgan Software Engineer II 

United Kingdom, England, London 

330727955

Job responsibilities

• Obtain formal training or certification on computer science or engineering concepts and expanding applied science
• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on computer science or engineering concepts and expanding applied experience
• Bachelor’s or master’s degree in computer science or engineering or equivalent.
• Good hands on experience in Java/J2EE (Version 8+), Cloud Native Micro Services and Angular JS/React JS.
• Hands on experience in Unit Testing (e.g., JUnit, Mockito, Jasmin)
• Experience in Spring Core, Spring AOP, Spring Integration and Spring Data, Hibernate
• Experience in design and developing APIs with best standards.
• Familiarity with CI/CD pipelines and modern deployment strategies and tools like GitHub, Jenkins.

Preferred qualifications, capabilities, and skills

• Good knowledge in SQL/No-SQL databases like Oracle, Cassandra, S3
• Familiarity with modern front-end technologies
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
• Exposure to different market-leading technologies like Kubernetes, Kafka, Elastic Search, Graph DB, GraphQL
• Knowledge in Document Management tools like FileNet.