JPMorgan Chase & Co.-posted about 1 month ago
$152,000 - $215,000/Yr
Full-time • Mid Level
Jersey City, NJ
5,001-10,000 employees
Credit Intermediation and Related Activities

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, Regulatory Reporting Team, you will be an integral part of an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for delivering critical technology solutions across multiple technical areas within various business functions to support the firm's business objectives.

  • Execute creative software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Implement real-time data processing solutions to efficiently handle large volumes of data
  • Ensure data processing solutions comply with 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
  • Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect
  • Formal training or certification in software engineering concepts and 5+ years of applied experience
  • Proven Senior Java developer with expertise in Java, Kafka, and SQL
  • Experience developing and maintaining Java applications for data ingestion, transformation, and storage
  • Ability to 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
  • Experience with data enrichment, transformation, and optimization techniques
  • Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages
  • Proficiency in designing and implementing real-time data processing solutions
  • Experience with Python or shell scripting and working in a Linux environment
  • Experience building distributed systems at Internet scale
  • Experience with Spark Structured Streaming and Spark SQL
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