Security Engineer [Multiple Positions Available]

JPMorganChaseTampa, FL
Onsite

About The Position

Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies.

Requirements

  • Designing and developing applications using Java
  • Building scalable enterprise applications using Java features including Streams API, CompletableFuture, and Lambda expressions for asynchronous processing and code optimization
  • Designing RESTful APIs and microservices architectures using Spring Boot
  • Implementing batch processing workflows with Spring Batch
  • Utilizing Spring Data JPA for database operations and Spring Security for authentication and authorization protocols
  • Creating responsive web applications using TypeScript and Angular
  • Processing large-scale datasets using Scala, Python, Spark DataFrame, and PySpark
  • Conducting statistical analysis, data visualization, and predictive modeling
  • Designing schemas, data modeling, and performance optimization for Apache Cassandra and Oracle databases
  • Developing and optimizing business rule sets using the Drools Engine
  • Building data pipelines with Apache Kafka including Avro schema management
  • Deploying applications in private cloud environment including Cloud Foundry and public cloud environments including AWS
  • Utilizing Kubernetes for Docker container management and cloud-native deployment
  • Designing, scheduling, and monitoring automated jobs using Control-M and Autosys
  • Workflow automation with Control-M and Autosys

Responsibilities

  • Execute software solutions, design, development, and technical troubleshooting
  • Create secure and high-quality production code and maintain algorithms
  • Produce architecture and design artifacts for complex applications
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
  • Proactively identify hidden problems and patterns in data and use these insights to drive improvements
  • Contribute to software engineering communities of practice and events
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