Location: New York, NY, United States

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 Consumer & Community Banking, Card Data Tech, 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:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Acquire and manage data from various sources and storage systems
• Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
• Implement new or enhance existing services and components using both object-oriented and functional programming
• Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills:

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• 8+ years’ experience of Java, AWS, Python, Databricks or Snowflake, Spring
• Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.

• Experience in AI is a plus
• Proficiency in both Python and Java is a major plus
• Experience with Infrastructure as Code (Terraform)
• Familiarity with relational and non-relational databases
• Exposure to cloud technologies