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JP Morgan Chase Logo

Senior Kafka Developer – Lead Software Engineer

JP Morgan Chase

Salary not specified
Sep 4, 2025
New York, NY, USA
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JPMorganChase is looking to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way within the Commercial & Investment Bank Regulatory Reporting Team.

Requirements

  • Proven Senior Java developer with expertise in Java, Kafka, Spark, Structured Streaming, and Spark SQL.
  • Design and implement scalable data processing pipelines using Apache Kafka, Apache Spark, and Structured Streaming.
  • Develop and maintain Java applications for data ingestion, transformation, and storage.
  • Integrate data processing solutions with AWS services such as Apache Kafka/Amazon MSK, Amazon S3, AWS Lambda, and Amazon EMR.
  • Strong experience with AWS services and cloud-based architectures.
  • Advance experience with exposure to Spark Structured Streaming and Spark SQL.
  • Experience with data enrichment, transformation, and optimization techniques.

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Implement real-time data processing solutions to handle large volumes of data efficiently.
  • Ensure data processing solutions adhere to security and compliance standards.
  • Document data processing workflows, architecture, and best practices.
  • Optimize data processing pipelines for performance and scalability.
  • Monitor and troubleshoot performance issues in Kafka and Spark applications.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
  • Proficiency in designing and implementing real-time data processing solutions.
  • Experience with Python/shell scripting and working in a Linux environment.