Lead Software Engineer- Java and Kafka

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 skills

• Formal 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 skills

• Experience 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