Software Engineer, Data Platform

📋 Description

• • Join Ramp, a rapidly growing financial operations platform revolutionizing how modern businesses manage their finances, especially in the age of AI. Ramp offers an all-in-one solution encompassing payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping, all enhanced with built-in intelligence to maximize efficiency and cost savings. Since its inception in 2019, Ramp has empowered over 50,000 businesses, facilitating more than $100 billion in annual purchases and saving companies an estimated $10 billion and 27.5 million hours. We are recognized as a leader in the fintech space, consistently appearing on prestigious lists such as Fast Company's Most Innovative Companies, LinkedIn's Top U.S. Startups, Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.
• • As a Software Engineer on the Data Platform team, you will play a pivotal role in constructing and enhancing the foundational infrastructure and tools that empower Ramp to extract maximum business value from its data. This team is at the forefront of building sophisticated platforms designed to streamline and accelerate the entire data science development lifecycle. You will be a key collaborator, working hand-in-hand with applied scientists, AI engineers, Risk engineers, and other machine learning developers.
• • Your primary focus will be on developing and refining the infrastructure and tools that enable and expedite the creation, deployment, and management of machine learning models. This involves building robust, scalable, and maintainable systems that form the backbone of Ramp's data-driven decision-making and AI initiatives.
• • You will be instrumental in building and integrating critical components of Ramp's Analytics Platform and Machine Learning Platform. This includes developing the core services, APIs, and data pipelines that underpin our data capabilities.
• • A significant aspect of your role will involve creating innovative tools and solutions designed to enhance the agility, efficiency, and overall data experience for Ramp's Applied Scientists, AI Engineers, and Risk Engineers. This means understanding their workflows and building systems that remove friction and accelerate their progress.
• • You will actively collaborate with various stakeholder teams across the organization to build and productionize machine learning applications. This cross-functional partnership is essential for translating data science innovations into tangible business impact.
• • You will be responsible for architecting and implementing reliable, scalable, maintainable, and cost-efficient systems across the entire technology stack. This requires a strong understanding of distributed systems, cloud infrastructure, and best practices in software engineering.
• • This role offers a unique opportunity to work with cutting-edge technologies and contribute directly to the AI-first strategy of a leading fintech company. You will be shaping the future of how data and AI are leveraged to drive business outcomes at Ramp.
• • You will contribute to the evolution of our data infrastructure, ensuring it can support the increasing demands of our growing business and ambitious AI roadmap.
• • You will have the chance to mentor junior engineers and contribute to the technical direction of the Data Platform team.
• • You will be involved in the entire software development lifecycle, from ideation and design to implementation, testing, deployment, and ongoing maintenance.
• • You will foster a culture of continuous improvement, seeking out opportunities to optimize existing systems and introduce new technologies that enhance performance and developer productivity.