Senior Software Engineer - Billing Platform

What You'll Do

As a Senior Software Engineer on Billing Platform, you will:

• Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-team initiatives.
• Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service, all on Snowflake's own product.
• Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps — including token-based inference, agent workflows, and AI-native subscriptions.
• Use AI as a first-class collaborator in development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence.
• Own reliability and correctness — participate in on-call, debug across unfamiliar areas, and drive systemic fixes to monitoring, alerts, and quality.
• Be the go-to expert for one or more billing components (metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting) and mentor other engineers.
• Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems.

What We Look For

• 5+ years of professional software engineering experience building and supporting large-scale, production distributed systems.
• Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong fundamentals in distributed systems: consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream/batch data pipelines.
• Strong fundamentals in databases and data modeling — SQL fluency, schema design, performance tuning, and an appreciation for the operational realities of large-scale data systems.
• Proficiency in one or more of Java, Scala, Python, or Go, and the engineering practices that make systems easy to operate at scale (testing, observability, CI/CD, incremental rollout).
• Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, and to contribute as a strong individual contributor on larger, multi-team efforts.
• A track record of owning reliability for what you build — participating in on-call, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches.
• Excellent communication skills and a collaborative working style. You are comfortable operating across engineering disciplines and partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal.
• Curiosity about and hands-on experience with AI as a builder's tool, and interest in shaping the commercial models that bring AI products to market.

Bonus Points For

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