软件工程师，数据平台
Software Engineer, Data Platform
Ramp 正在构建财务团队的智能基础设施，嵌入每笔业务支出的交易流程中。我们自动化了超过 2000 亿美元年度支出在 70,000 多家公司的流动：授权付款、标记风险、分类支出并完成账务结算。
这些问题具有高风险、数据密集且不容错误。
我们招聘具有高度自主性和紧迫感的人才。我们更看重的是你所构建的东西，而不是你在哪里学习的。在 Ramp，每个人都是能够从头到尾负责问题并做出影响结果的重要决策的建设者。
Ramp 的平均客户在第一年节省了 5% 的开支，并实现了 16% 的收入增长——远超没有使用 Ramp 的企业。我们认为每个有抱负的公司都值得拥有同样的工具。
如果你希望构建直接塑造公司如何移动和管理数十亿美元的系统，Ramp 就是你的选择。
职位描述
数据平台构建基础设施和工具，使 Ramp 能够从数据中实现商业价值。我们与相关团队紧密合作，构建这些基础设施以及其上的应用程序。该职位特别关注构建支持数据科学开发生命周期的平台。你将与应用科学家、AI 工程师、风险工程师和其他 ML 开发者合作，构建能够启用和加速机器学习模型开发的基础设施和工具。
你会做什么
- 构建并集成 Ramp 分析平台和机器学习平台的组件。
- 构建提升 Ramp 应用科学家、AI 工程师和风险工程师敏捷性和数据体验的工具。
- 与相关团队合作构建和部署机器学习应用。
- 在整个技术栈上构建可靠、可扩展、可维护且成本高效的系统。
你需要具备
- 使用 Airflow、Dagster 或 Prefect 等工作流编排工具的经验。
- 在 AWS、GCP 或 Azure 上构建基础设施的经验。
- 熟悉 SQL 和使用 Snowflake、Redshift、BigQuery 或类似数据库的经验。
- 对分析和机器学习有直觉，对数据科学工作流有同理心。
- 强大的 Python 编程技能。
加分项
- 精通 AWS
- 有构建在线机器学习系统的经验。
- 有构建特征存储的经验。
- 有使用 Terraform 和 Datadog 的经验。
查看英文原文
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
- Experience building streaming systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice