Software Engineer, Data Platform

Ramp is building the smart infrastructure for finance teams, automating how over $100B in annualized spend flows in and out of companies. The role focuses on building infrastructure and tools that support the data science development lifecycle, collaborating with various teams to enhance machine learning applications.

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

Preferred

• Expertise with AWS
• Previous experience building online machine learning systems
• Previous experience building a feature store
• Experience with Terraform and Datadog
• Experience building streaming systems
• AWS expertise
• Machine learning systems
• Feature store development
• Terraform experience
• Datadog experience
• Streaming systems development

Benefits

• 100% medical, dental & vision insurance coverage for you
• Partially covered for your dependents
• One Medical annual membership
• 401k (including employer match on contributions made while employed by Ramp)
• Flexible PTO
• Fertility HRA (up to $10,000 per year)
• Parental Leave
• Unlimited AI token usage
• Pet insurance
• Centralized home-office equipment ordering for all employees
• Health and Wellness stipend
• In-office perks: lunch, snacks, drinks, and more
• Budget for intra-office travel
• Relocation support to NYC or SF (as needed)

Company

• Financial operations platform for businesses
• New York, New York, USA
• https://ramp.com/
• Founded in 2019
• 1001-5000 employees

Qualifications

• Experience with workflow orchestrators like Airflow, Dagster, or Prefect
• Experience building infrastructure on AWS, GCP, or Azure
• Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases
• Intuition around analytics and machine learning, and empathy for data science workflows
• Strong Python programming skills
• Expertise with AWS
• Previous experience building online machine learning systems
• Previous experience building a feature store
• Experience with Terraform and Datadog
• Experience building streaming systems

Required skills

• Airflow, Dagster, Prefect, AWS, GCP, Azure, SQL, Snowflake, Redshift, BigQuery, Python, Terraform, Datadog

Preferred skills

• Expertise with AWS, Previous experience building online machine learning systems, Previous experience building a feature store, Experience with Terraform and Datadog, Experience building streaming systems

Experience

• Mid level