Ramp
Software Engineer, Data Platform
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · New York, NY (HQ)
Employer listed it 7 months ago · Added 5 days ago
Been open since 7 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$168,000 to $324,500
Location
Hybrid · New York, NY (HQ)
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around New York, NY (HQ), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "New York, NY (HQ), Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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 $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.
What You’ll Do
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.
What You Need
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.
Nice to Haves
Expertise with AWS
Previous experience building online machine learning systems.
Previous experience building a feature store.
Experience with Terraform and Datadog
Requirements
- ·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.
Benefits
- ·Centralized home-office equipment ordering
- ·Health and wellness stipend
- ·Budget for intra-office travel
- ·Weekly coffee stipend
- ·100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Ramp, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$168,000 to $324,500 · You'll be taken to the employer's careers page.