Lead Software Engineer

Testing Site - JPMC; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to design, develop, and deploy scalable systems using Python/Java, Spark/PySpark, React, and Databricks or Snowflake.

You will set technical direction, champion best practices, mentor engineers, and collaborate with cross-functional teams to deliver robust applications in a fast-paced environment.

Qualifications

• 5+ years of applied software engineering experience.
• Proven expertise building scalable apps with Python/Java, React, Spark/PySpark.
• Experience with Databricks or Snowflake data platforms.
• Strong in CI/CD practices and automated testing.
• Hands-on system design, code reviews, and mentoring.
• Awareness of cloud-native architectures and security.

Responsibilities

• Develop high-quality, scalable code in Python/Java and React.
• Architect secure, efficient data-processing solutions.
• Lead code reviews, pair programming, and coaching.
• Establish CI/CD pipelines and testing frameworks.
• Collaborate with Product Managers and Leadership to deliver solutions.
• Mentor junior engineers and drive technical direction.

Skills

Python

Java

React

Spark/PySpark

Databricks

Snowflake

CI/CD

Education

Software engineering certification

Tools

CI/CD tools

Job description

Are you ready to take your career to the next level and embark on an exciting journey where you can push the boundaries of technology? Join JPMorgan Chase as a Lead Software Engineer and play a pivotal role in designing, developing, and deploying innovative solutions that drive our business forward.

About the Role

As a Lead Software Engineer at JPMorgan Chase within our Corporate Technology division, you will design and implement scalable, high-performance systems specializing in Python or Java, Spark/PySpark, React, and Databricks or Snowflake. In this leadership position, you will set technical direction, champion best practices in design, coding, and testing, and collaborate with cross-functional teams to deliver robust applications. You will also mentor junior engineers and contribute to strategic technology decisions that shape our future.

Job Responsibilities

• Develop high-quality, scalable code using Python or Java, React, Spark/PySpark, and Databricks or Snowflake, adhering to best practices in design, testing, and maintainability.
• Architect and implement secure, efficient solutions for processing large volumes of data.
• Conduct code reviews, pair programming, and provide coaching to elevate team coding standards.
• Identify and automate remediation of recurring issues to enhance operational stability.
• Establish coding standards, CI/CD pipelines, testing frameworks, and documentation practices to improve overall software quality.
• Mentor junior engineers, fostering their growth and development as strong contributors.
• Communicate and collaborate effectively with Product Managers and Leadership.
• Manage multiple tasks and priorities in a fast-paced, dynamic environment.
• Provide hands-on delivery and actively participate in the implementation of technical solutions.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts, with 5+ years of applied experience.
• Proven expertise in building scalable applications using Python or other language, React, Spark/PySpark, and Databricks or Snowflake.
• Experience serving as a Tech Lead or senior engineer, driving technical direction.
• Hands-on experience in system design, application development, testing, and ensuring operational stability.
• Advanced proficiency in one or more programming languages.
• Strong background in automation and continuous delivery, including designing and optimizing CI/CD pipelines.
• Proficiency in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Practical experience with cloud-native technologies.

Preferred Qualifications, Capabilities, and Skills

• Prior experience in the financial services industry.
• Experience applying Large Language Models (LLMs) to real-world products is a plus.