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JPMorgan Full Stack Java Software Engineer II 
United Kingdom, Scotland 
131556304

26.06.2024

Job responsibilities

  • 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.
  • Works under self-initiative and self-awareness.

Required qualifications, capabilities, and skills

  • Formal training or certification in computer science or engineering concepts and expanding applied experience.
  • 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.