Software Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Commercial & Investment Bank

Software Engineer role at JPMorgan Chase focused on designing, developing, and implementing software solutions, with a strong emphasis on Microservices architecture using Java, Spring Boot, Kafka, and REST APIs. The role involves all aspects of the SDLC, including analyzing requirements, designing specifications, developing modules, troubleshooting code, and participating in code reviews and project planning. Experience with cloud platforms (GCP/AWS), data processing systems, SQL, and GraphQL is required.

What you'd actually do

  1. Design, develop and implement software solutions.
  2. Solve business problems through innovation and engineering practices.
  3. Involved in all aspects of the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules.
  4. Identify or troubleshoot application code-related issues.
  5. Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications.

Skills

Required

  • designing and developing Microservices using Spring Boot's advanced features including Spring Security
  • developing software within a Microservices architecture utilizing Java-based framework to modify, enhance, and streamline the development and deployment of REST APIs
  • integrating applications by connecting different applications and web services using Kafka and REST API
  • developing and automating large-scale, high-performance data processing systems to enhance product experiences including building scalable data pipelines using scheduler and executor frameworks to deliver application data to enterprise data hub or lake
  • Java software development utilizing frameworks including Spring, Spring Boot, and build tools including Maven or Gradle for managing application dependencies
  • building applications that handle data transfers using JSON and XML formatted data files or service payloads
  • performing exploratory data analysis on large enterprise databases using Oracle and Postgres SQL
  • hybrid, private, and public cloud including Google Kubernetes Platform or AWS
  • data manipulation, structuring, design flow, and query optimization using SQL and GraphQL queries and mutations
  • processing large datasets using data containers, multithreading, and multiprocessing in Java-based environments