Lead Software Engineer- Java and Kafka
testing site jpmcJersey City (NJ)
Lead Software Engineer- Java and Kafka
Posted yesterday
testing site jpmcJersey City (NJ)
SENIORITY
Lead
About the role
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 JPMorganChase within the Commercial & Investment Bank's Regulatory Reporting Team, you will play a key role in an agile team responsible for developing and maintaining technology solutions that support critical business functions. You will contribute technical expertise to deliver secure, stable, and scalable products, ensuring compliance and performance across multiple business areas.
Job Responsibilities:
Design, develop, and troubleshoot software solutions for data processing workflows
Implement real-time data processing systems to manage large datasets efficiently
Ensure all data processing solutions meet security and compliance requirements
Document workflows, system architecture, and best practices for data processing
Optimize data pipelines for improved performance and scalability
Monitor and resolve performance issues in Kafka and Spark applications
Lead knowledge-sharing initiatives to promote adoption of new technologies within the engineering team
Foster a collaborative and inclusive team environment
Collaborate with cross-functional teams to deliver technology solutions
Participate in code reviews and provide constructive feedback
Support ongoing maintenance and enhancements of existing systems
Required qualifications, capabilities, and skillsFormal training or certification in software engineering concepts and 5+ years of applied experience
Hands-on software engineering experience
Advanced proficiency in Java, Kafka, and SQL
Experience developing Java applications for data ingestion, transformation, and storage
Ability to integrate data processing solutions with AWS services (e.g., Amazon MSK, S3, Lambda, EMR)
Strong understanding of AWS cloud architectures
Experience with data enrichment, transformation, and optimization
Skilled in debugging and maintaining code in large-scale environments
Proficiency in designing and implementing real-time data processing solutions
Familiarity with modern programming languages and database querying
Strong problem-solving and analytical skills
Preferred qualifications, capabilities, and skillsExperience with Python or shell scripting in a Linux environment
Background in building distributed systems for large-scale applications
Knowledge of Spark Structured Streaming and Spark SQL
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience with CI/CD pipelines and automated testing
Understanding of regulatory reporting requirements in financial services
Ability to mentor junior engineers and support team development
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