Ramp
Software Engineer, Data Platform
About this role
Ramp seeks a Software Engineer to build data infrastructure and tools that enable machine learning development across the company. You'll design scalable platforms supporting data scientists and ML engineers while handling billions in transaction data.
What you'll do
- Develop and integrate analytics and machine learning platform components
- Create tools to enhance data scientist and ML engineer workflows
- Partner with stakeholders on productionizing machine learning applications
- Build reliable, scalable, and cost-efficient systems across the stack
- Support the data science development lifecycle with infrastructure
What they're looking for
- Workflow orchestration (Airflow, Dagster, or Prefect)
- Cloud infrastructure (AWS, GCP, or Azure)
- SQL and data warehousing (Snowflake, Redshift, BigQuery)
- Python programming
- Machine learning fundamentals and data science workflows
- AWS expertise (nice to have)
- Feature store development (nice to have)
- Streaming systems (nice to have)
Benefits
- Flexible PTO and unlimited AI token usage
- Comprehensive health insurance (medical, dental, vision) with dependent coverage
- 401(k) with employer match and fertility HRA
- Parental leave up to 16 weeks at full pay
- Home office equipment and wellness stipend
- Relocation support to NYC or SF
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Ramp
Ramp builds AI-first financial infrastructure and intelligence platforms that help businesses simplify complex finance operations, from spend management to FP&A and book-close workflows. The company is hiring Design Engineers, Software Engineers, fullstack AI Engineers, Onboarding Engineers, and Production Engineers to build scalable customer-facing experiences, developer APIs, fraud detection systems, and mission-critical infrastructure handling billions in transactions.
- Website
- ramp.com