Top Software Engineer Jobs

Join a next-generation financial services company and national bank as an AML Quality Assurance Sr. Specialist. Shape a brighter financial future and make an impact on people's lives. No specific skills or tech stack mentioned. Compensation and benefits are competitive. The company values diversity and offers accommodations for candidates with disabilities.

Join us to invest in yourself, your career, and the financial world. SoFi is looking for an AML Quality Assurance Sr. Specialist to shape a brighter financial future with us.

Join a next-generation financial services company and national bank as an AML Quality Assurance Sr. Specialist. Shape a brighter financial future with us and be part of a transformation in personal finance. Enjoy competitive benefits and equal employment opportunities. The Company values diversity and provides accommodations for candidates with disabilities. Note: Remote work is unavailable in Hawaii or Alaska at this time.

The AML Quality Assurance Sr. Specialist role at SoFi involves ensuring compliance with Anti-Money Laundering regulations and guidelines. The role includes conducting quality assurance reviews, identifying areas for improvement, and implementing enhancements to the AML program. The position plays a critical role in the company's efforts to combat financial crimes and protect the integrity of its operations.

The Senior Data Engineer will design and develop robust data pipelines for data ingestion, processing, storage, and retrieval while optimizing data systems for efficiency. They will collaborate with cross-functional teams, enforce data governance policies, and ensure data integrity and compliance with regulations.

The Staff DevOps Engineer will lead the transformation of DevOps practices within the organization, focusing on both technical and cultural aspects. Responsibilities include implementing CI/CD pipelines, promoting automation, mentoring teams, and driving continuous improvement initiatives to enhance efficiency and collaboration across departments.

The Data Manager in Risk Engineering & AI focuses on developing data-intensive solutions for decision making within the risk management function. Responsibilities include data acquisition, pipeline development, transformation, modeling, API development, collaboration with AI/ML teams, and ensuring data quality and governance.