What are the responsibilities and job description for the Lead Software Engineer- Java and Kafka position at JPMorgan Chase?
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
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.
Job responsibilities
- 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
Required qualifications, capabilities, and skills
- 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
Preferred qualifications, capabilities, and skills
- 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