Security Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Tampa, FL +1 · Corporate Sector

Security Engineer at JPMorgan Chase responsible for designing, developing, and troubleshooting software solutions with a focus on security and scalability. The role involves creating secure production code, maintaining algorithms, producing architecture artifacts, and analyzing large datasets for continuous improvement. Experience is required in Java, Spring Boot, Spring Batch, Spring Security, TypeScript, Angular, Scala, Python, Spark, PySpark, Apache Cassandra, Oracle, Drools Engine, Apache Kafka, Cloud Foundry, AWS, Kubernetes, Control-M, and Autosys.

What you'd actually do

  1. 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.
  2. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  3. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  4. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  5. Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.

Skills

Required

  • Java
  • Spring Boot
  • Spring Batch
  • Spring Security
  • TypeScript
  • Angular
  • Scala
  • Python
  • Spark DataFrame
  • PySpark
  • Apache Cassandra
  • Oracle
  • Drools Engine
  • Apache Kafka
  • Cloud Foundry
  • AWS
  • Kubernetes
  • Control-M
  • Autosys

What the JD emphasized

  • 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, ensuring data integrity and application security
  • Creating responsive web applications using TypeScript and Angular to deliver high-quality UI/UX
  • Processing large-scale datasets using Scala, Python, Spark DataFrame, and PySpark for data cleansing, transformation, aggregation, migration, and reporting
  • Conducting statistical analysis, data visualization, and predictive modeling to extract actionable business insights
  • Designing schemas, data modeling, and performance optimization for Apache Cassandra and Oracle databases, ensuring scalable and efficient data storage and retrieval
  • Developing and optimizing business rule sets using the Drools Engine to automate decision-making processes and streamline business logic management
  • Building data pipelines with Apache Kafka including Avro schema management for event-driven architectures and real-time analytics
  • 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 for efficient, reliable and scalable data processing workflows
  • Workflow automation with Control-M and Autosys for automating workflows and ensuring efficient data processing