Lead Software Engineer

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 Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Develop and maintain applications using Apache Spark and Java
• Work with different aspects of spark echo system including Datasets, Spark SQL and Scalability support
• Work with business analysts and lead engineers to understand requirements and designs for implementing software solutions
• Work on performance improvement activities to support spark applications to process millions of data elements everyday
• Provide production support and troubleshooting activities to uncover the issues in the spark applications
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, inclusion, and respect
• Lead teams in design and development

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Work experience on Data Engineering domain
• Hands-on practical experience in system design (simple), application development, testing, and operational stability
• Proficient in coding in one or more languages including Java
• Experience in developing, debugging, and maintaining code in a corporate environment with Java, Spark Framework and Database querying languages (any SQL usage experience), aws maanaged services glue etl, step functions, athena, glue crawler.
• Overall knowledge of the Software Development Life Cycle
• Experience working in an Agile Software Development Environment

• Exposure to cloud technologies such as AWS, Kubernetes and Kafka