Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.Tampa, FL
Onsite

About The Position

Develop Artificial Intelligence based solutions that cater to various types of digital payments in payments technology. Develop application services that make decisions and business rules enhanced by Machine Learning and data science. Develop and review tools that validate and perform quality control on systemic decisions generated by Artificial Intelligence model. Perform automated integrated system testing of payment solution that involves different lifecycles of payments. Collaborate and coordinate with different stakeholders including but not limited to Product Owners, Technologists, Quality Assurance Professionals, and Operations Management to review new enhancements and methods of payment. Support enterprise level merchant critical payments system that processes continuous payment lifecycles. Integrate insights gained from historical data into the development of new training Artificial Intelligence models.

Requirements

  • Master's degree in Computer Technology, Information Technology, Computer Science, Computer Engineering, Computer Information Systems, or related field of study plus 3 years of experience in the job offered or as Software Engineer, Programmer Analyst, Developer, Data Scientist or related occupation.
  • Bachelor's degree in Computer Technology, Information Technology, Computer Science, Computer Engineering, Computer Information Systems, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Programmer Analyst, Developer, Data Scientist or related occupation.
  • creating Java integration pipelines using Maven, Ant, and Unix shell scripts for deployment through Jules and Spinnaker
  • writing Unix shell scripts and developing Perl programs using CPAN modules and custom PM modules
  • using Spring Data and Spring JDBC to connect to diverse data sources
  • implementing Spring Security
  • implementing microservice architectures
  • using RabbitMQ as messaging middleware
  • building and deploying applications on AWS using Lambda Serverless, EC2, and S3
  • developing neural network-based Al models for Optical Character Recognition (OCR)
  • applying pattern-matching techniques to build language models and support informed decision-making using EasyOCR and Tesseract
  • building Python applications using Pyneta and conducting unit testing
  • designing authentication and authorization tokens for IDAnywhere systems
  • writing enterprise system integration specifications using OpenAPI 3.0
  • leveraging Kickstart proprietary libraries to generate code for Moneta Boot and Pyneta applications
  • developing system integrations for enterprise applications using IBM WebSphere MQ
  • utilizing OpenText Case 360 libraries and customizing document management solutions with Sonora modules
  • building and deploying applications on Azure cloud services and Azure Functions
  • managing Identity and Access Management, Key Management Service, CloudWatch, Auto Scaling, and Security Groups to secure and scale cloud applications
  • performing exploratory data analysis using Python and R to evaluate and develop machine learning models
  • configuring web applications for deployment on Tomcat, including Docker containerization, and performing data manipulation, structuring, flow design, and query optimization in RDS and DynamoDB

Responsibilities

  • Develop Artificial Intelligence based solutions that cater to various types of digital payments in payments technology.
  • Develop application services that make decisions and business rules enhanced by Machine Learning and data science.
  • Develop and review tools that validate and perform quality control on systemic decisions generated by Artificial Intelligence model.
  • Perform automated integrated system testing of payment solution that involves different lifecycles of payments.
  • Collaborate and coordinate with different stakeholders including but not limited to Product Owners, Technologists, Quality Assurance Professionals, and Operations Management to review new enhancements and methods of payment.
  • Support enterprise level merchant critical payments system that processes continuous payment lifecycles.
  • Integrate insights gained from historical data into the development of new training Artificial Intelligence models.

Benefits

  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching
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