Lead Software Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Consumer & Community Banking

Lead Software Engineer at JPMorgan Chase responsible for designing, developing, and implementing software solutions across the full Software Development Lifecycle (SDLC). This includes analyzing requirements, incorporating architectural standards, translating technical requirements into code, and troubleshooting application issues. The role involves code reviews, design reviews, and participating in project planning sessions to outline proposed solutions based on business requirements.

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

  • Architecting, building, and executing high-throughput low-latency software applications using Java technology stack
  • Implementing, enhancing and supporting OAuth, OpenID, Passkeys, and SAML authentication and authorization protocols
  • Creating system designs using UML modeling
  • Architecting and implementing REST microservices and SOAP web services
  • Enhancing loosely coupled App2App communication following Pub-Sub pattern with Kafka-based messaging
  • Creating event models using Avro
  • Creating data models for Cassandra database using Erwin Data Modeler
  • Implementing data access layers using Spring Data
  • Building Docker images and deploying to ECS clusters
  • Onboarding software applications to cloud computing using AWS
  • Developing performance tests Using JMeter and executing test through Blazemeter to analyze performance results
  • Developing and automating functional testing using Gherkin and Cucumber
  • Implementing unit tests using Mockito and Powermock
  • Configuring dashboard alerts on Splunk, Dynatrace, and Datadog to analyze and monitor applications
  • Implementing CI/CD pipelines using Spinnaker
  • Using CQL when implementing Data Access Layer to select, insert, update, or delete data
  • Using front end technologies JavaScript, jQuery, React, HTML, and CSS to implement headless UI modules and user interfaces
  • Developing Microservices using Java, J2EE, Servlets, Spring Boot, Spring Data, Maven, React, Junit, Microservices, and Apache Tomcat
  • Using Unix shell scripts and commands to process and transform data
  • provisioning infrastructure using IaC tool terraform

What the JD emphasized

  • high-throughput low-latency software applications using Java technology stack
  • Architecting, building, and executing high-throughput low-latency software applications using Java technology stack
  • Implementing, enhancing and supporting OAuth, OpenID, Passkeys, and SAML authentication and authorization protocols
  • Creating system designs using UML modeling
  • Architecting and implementing REST microservices and SOAP web services
  • Enhancing loosely coupled App2App communication following Pub-Sub pattern with Kafka-based messaging
  • Creating event models using Avro
  • Creating data models for Cassandra database using Erwin Data Modeler
  • Implementing data access layers using Spring Data
  • Building Docker images and deploying to ECS clusters
  • Onboarding software applications to cloud computing using AWS
  • Developing performance tests Using JMeter and executing test through Blazemeter to analyze performance results
  • Developing and automating functional testing using Gherkin and Cucumber
  • Implementing unit tests using Mockito and Powermock
  • Configuring dashboard alerts on Splunk, Dynatrace, and Datadog to analyze and monitor applications
  • Implementing CI/CD pipelines using Spinnaker
  • Using CQL when implementing Data Access Layer to select, insert, update, or delete data
  • Using front end technologies JavaScript, jQuery, React, HTML, and CSS to implement headless UI modules and user interfaces
  • Developing Microservices using Java, J2EE, Servlets, Spring Boot, Spring Data, Maven, React, Junit, Microservices, and Apache Tomcat
  • Using Unix shell scripts and commands to process and transform data
  • provisioning infrastructure using IaC tool terraform