Назад
7 дней назад

Staff Software Engineer (Billing Platform)

236 000 - 339 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer (Billing Platform/Distributed Systems): Building and operating Snowflake's distributed billing systems for metering, pricing, invoicing, fraud detection, and reporting across clouds and regions with an accent on correctness, auditability, and AI product commercialization. Focus on designing scalable usage-based billing for token inference, agent workflows, and AI-native subscriptions, while solving reliability, consistency, and cross-functional integration challenges.

Location: Menlo Park, California, United States

Salary: $236K–$339.2K annually

Company

Snowflake provides a cloud data platform and develops AI-enabled data products.

What you will do

  • Drive multi-team billing initiatives from ambiguous business problems through design, launch, and operation, setting technical direction for other engineers.
  • Build systems that meter, rate, reconcile, invoice, and report usage across Snowflake services, clouds, and regions.
  • Shape metering and pricing for Cortex AI, Snowflake Intelligence, Apps, token-based inference, agent workflows, and AI-native subscriptions.
  • Own a billing domain such as metering, rating, invoicing, contracts, payments, fraud, or reporting, and influence adjacent systems.
  • Ensure reliability and correctness through on-call participation, debugging, monitoring, alerting, testing, and systemic fixes.
  • Mentor senior engineers and partner with Product, Finance, Legal, Growth, GTM Systems, Trust, and engineering teams.

Requirements

  • Significant experience building and operating large-scale production distributed systems, typically 10+ years or equivalent impact.
  • Bachelor’s or master’s degree in computer science or a related technical field, or equivalent practical experience.
  • Strong knowledge of distributed systems, including consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream and batch pipelines.
  • Strong database and data-modeling fundamentals, including SQL, schema design, performance tuning, and large-scale operational realities.
  • Proficiency in one or more of Java, Scala, Python, or Go, plus testing, observability, CI/CD, and incremental rollout practices.
  • Experience driving outcomes across teams, framing disagreements, writing designs, making tradeoffs, and delivering systems to production.
  • Depth in at least one billing-adjacent domain: metering, rating, invoicing, contracts, payments, revenue, or financial reporting.
  • Hands-on use of AI as a builder’s tool for design, coding, debugging, and incident response.
  • Clear written and verbal communication with non-engineering partners, including Finance.
  • Compliance with Snowflake’s confidentiality, security, and data security standards is required.

Nice to have

  • Experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.
  • Experience with fraud detection, abuse mitigation, or trust and safety systems in usage-based products.
  • Experience designing pricing models for AI/ML products, including inference, fine-tuning, and agentic workloads.
  • Experience with Snowflake or comparable cloud data platforms, including Snowpark, Streams and Tasks, Iceberg, Streamlit, or Cortex.
  • Contributions to internal AI developer-productivity tooling, agentic skills, or coding-agent workflows.

Culture & Benefits

  • Work on Snowflake’s own product and use Cortex AI as the foundation for a business-critical billing platform.
  • Collaborate across Finance, GTM, Product, Legal, Growth, Trust, and engineering teams.
  • Develop billing systems operating across every cloud, region, and service with strict correctness and auditability requirements.
  • Work in a fast-growing environment that values experimentation, low-ego collaboration, challenging conventional thinking, and innovation.

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