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Senior Software Engineer, Data Platform

fal.ai· Engineering
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San Francisco$180k - $225kFull-timePosted 3mo ago

About the role

Senior Software Engineer focused on building data infrastructure to provide cost, margin, and performance insights. Works across production infrastructure and partner/vendor costs, partnering with Infra, data, and product engineering to instrument systems, design low-latency analytics, and build ingestion pipelines for analytics.

Responsibilities

  • Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals, working alongside our infra team to land changes safely in critical paths.
  • Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery and a new low-latency analytical store (e.g., ClickHouse).
  • Design and operate the ETL backbone that powers cost, margin, and usage analytics with durable, observable pipelines.
  • Stand up a lightweight, low-latency write path that the data team and product engineers can target directly for analytics-grade telemetry.
  • Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer.

Qualifications

  • 5+ years of experience as a software or data engineer, with a software-engineering-heavy track record (Python, Go, or similar)
  • Demonstrated ability to ship code into critical production infrastructure safely, including familiarity with database performance, query patterns, and incident risk.
  • Hands-on experience building ingestion pipelines into a warehouse (BigQuery, Snowflake, Redshift) and at least one low-latency analytical store (ClickHouse, Druid, Pinot, or similar).
  • Strong SQL and working proficiency in dbt and orchestration tooling (Dagster, Airflow, Prefect).
  • Track record of partnering across teams (infra, product engineering, data) and translating business questions into durable systems.
  • Bias for action and comfort working in fast-moving, ambiguous environments.
  • Experience instrumenting GPU/accelerator workloads or other infrastructure-cost-heavy systems.
  • Exposure to FinOps or infrastructure cost modeling at a cloud-native company.
  • Experience with developer-facing API products or platforms.
  • Early-stage or fast-scaling startup experience.

Skills

Required:PythonSQLdbtOrchestration tools
Nice to have:Go

Benefits

  • Interesting and challenging work
  • A lot of learning and growth opportunities
  • We are currently hiring in downtown San Francisco.
  • We offer relocation assistance to San Francisco.
  • Health, dental, and vision insurance (US)
  • Regular team events and offsites
Last updated Oct 17, 2026. Interested? Apply on the company site.

About fal.ai

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