Software Engineer, Data Platform
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
What this role actually needs.
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. Responsibilities: - Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform. - Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers. - Collaborate with stakeholder teams on building and productionizing machine learning applications. - Build reliable, scalable, maintainable, and cost-efficient systems across the stack. - Experience with workflow orchestrators like Airflow, Dagster, or Prefect. - Experience building infrastructure on AWS, GCP, or Azure. Company context: Ramp builds financial operations software with broad engineering, product, data, and infrastructure hiring across the United States and Canada.
Day-to-day expectations
Ramp lists these responsibilities for the Software Engineer, Data Platform role.
- Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
- Collaborate with stakeholder teams on building and productionizing machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
- Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
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Source: jobs.ashbyhq.com · Source ID: bca0346c-b843-4795-96df-6091f51e421b · Confidence: 93/100 · Last checked: May 7, 2026
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