Lead Software Engineer - Java/Python/Databricks/AWS

JPMorgan Chase•New York, NY

42d

About The Position

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

Requirements

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.

Nice To Haves

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

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