Software Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

Software Engineer role at JPMorgan Chase focused on designing, developing, and implementing software solutions, including core data backend systems and machine learning platforms. The role involves the full SDLC, collaboration across business lines, and working with various technologies including cloud services, big data, ETL, and machine learning frameworks.

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

  • Linux
  • Unix
  • Windows
  • Agile SDLC
  • Data Architecture Disciplines
  • Infrastructure Architecture Disciplines
  • Microservices
  • Docker
  • J2EE
  • Jenkins
  • Spring
  • Java
  • Python
  • Shell Scripting
  • SQL
  • Apache Tomcat
  • REST
  • Maven
  • JSON
  • Kubernetes
  • AWS Cloud Services
  • Google Cloud Platform
  • Hadoop
  • Hive
  • Oracle
  • Apache Spark
  • Splunk
  • Cucumber
  • Junit
  • Automated Testing
  • Functional Testing
  • Manual Testing
  • Performance Testing
  • Regression Testing
  • Smoke Testing
  • System Integration Testing
  • Unit Testing
  • Cloud computing, including Google Cloud, AWS, Azure, Docker and Kubernetes
  • Big data technologies, such as Hadoop, Hive, Spark, Kafka, Python, C, and C++
  • ETL pipelines, both batch and real-time data processing
  • MVC framework
  • machine learning frameworks including TensorFlow, Caffe/Caffe2, Pytorch, Keras, MXNet, and Scikit-Learn to build web services.

What the JD emphasized

  • machine learning frameworks including TensorFlow, Caffe/Caffe2, Pytorch, Keras, MXNet, and Scikit-Learn to build web services.

Other signals

  • Develop, design, and build core data backend systems and machine learning platforms to make huge technology and business impact.
  • Work cross-functionally as part of the platform team designing/creating/deploying APls, managing databases, and supporting production operations.
  • machine learning frameworks including TensorFlow, Caffe/Caffe2, Pytorch, Keras, MXNet, and Scikit-Learn to build web services.