Staff Software Engineer, Customer Migration Platform

Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time.   Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). Today nearly 8 out of 10 Americans use a product powered by Marqeta every week. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

The Program Experience team is looking for a Staff Software Engineer to help build our Customer Migration Platform at Marqeta. This is a newly formed area of focus, and we are looking for an experienced and strong engineer with hands-on experience in developing backend applications and data pipelines from scratch.

The Customer Migration Platform Team is building a scalable and performant portfolio migration platform (v1 service) to have the ability to migrate our customers existing portfolio over to Marqeta. This includes green field work in APIs and data pipelines space and is a key company priority for 2024 and beyond!

We work Flexible First. This role can be performed remotely within the United States. We’d love for you to join us!

Learn more about our Product and Engineering team

What you'll do

• Design, develop, and maintain server-side applications and services using languages like Java and Python

• Implement robust and scalable APIs, web services, and microservices that support various front-end applications and user interactions

• Use hands-on experience with AWS (preferred) or other cloud infrastructure to build cloud native applications that scale and perform for the end users

• Optimize code and databases for performance, scalability, and maintainability

• Identify and resolve technical challenges and bottlenecks in the backend systems

• Design and maintain data pipelines, ELT processes, and data integration solutions to support data analytics and reporting needs

• Work with large datasets, both structured and unstructured, and implement data storage and retrieval mechanisms

• Collaborate with data scientists and analysts to ensure data quality, accuracy, and availability for business insights

• Implement data security and privacy best practices to protect sensitive information

• Implement CI/CD pipelines in conformance with the existing frameworks and automate deployment processes to ensure smooth releases

• Monitor and troubleshoot production systems to ensure high …