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The Staff Engineer will design, implement, and maintain complex financial software systems, focusing on Java and related technologies. Collaborating with cross-functional teams, the engineer will ensure software reliability and performance while mentoring junior engineers and improving development processes.

As a Senior Backend Engineer at MoneyLion, you will design and implement fintech software solutions, lead development teams, ensure compliance with security standards, optimize performance, and solve technical challenges. Your expertise will be vital in architecting microservices and RESTful APIs for seamless financial experiences.

In this role, you will design and maintain a scalable infrastructure for MoneyLion's applications, focusing on providing automated CI/CD tools for product teams. You will improve resiliency and security, participate in on-call support, and consult with teams to meet service excellence goals.

As a Senior Data Engineer at MoneyLion, you will provide infrastructure and tools to support data scientists and analysts. Your responsibilities include designing and implementing an analytical environment, creating complex data pipelines, and managing large datasets, using technologies like Python, Java, Redshift, and Snowflake.

As a Machine Learning Engineer, you will design, implement, and optimize machine learning systems and models to solve business problems while collaborating with a multicultural team. Your responsibilities include developing and monitoring machine learning experiments, automating workflows, and enforcing best practices in model development.

As a Mobile Engineer at MoneyLion, you'll develop and enhance features for the MoneyLion app using React Native, JavaScript, and NodeJS. You'll collaborate with cross-functional teams, handle debugging and testing, and ensure optimal performance and user experience. Staying updated with design patterns and continuously improving code are key responsibilities in this fast-paced environment.

The Product Manager will facilitate the product development cycle, maintain team collaboration, monitor team health, and communicate complex engineering issues while defining performance metrics for continuous improvement.