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Senior Software Engineer, Full Stack (Serverless)

fal · San Francisco

CHECKED 16H AGO

Infrastructureonsitesenior$180k–$230k
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At a glance

Highlights

  • Build core Serverless UI features including dashboards, logs, and observability.
  • Own features end-to-end from design through production and iteration.
  • Help build a new product vertical from the ground up at rocket-ship speed.

What they offer

  • Interesting and challenging work
  • A lot of learning and growth opportunities
  • Health, dental, and vision insurance (US)
  • Regular team events and offsite
  • Equity

Ideal candidate

Product-minded full-stack owner with 5+ years building developer platforms who thrives in fast-moving, low-process environments and cares about clean abstractions and long-term maintainability.

Requirements

  • Minimum 5+ years experience working across both frontend and backend
  • Ability to context switch between UI, backend, and performance work
  • Proficiency with TypeScript, Python, Postgres, and Next.js
  • Experience owning features end-to-end in production systems
  • Product-minded engineer who values clean abstractions and long-term maintainability
  • Comfortable working in a fast-moving, low-process environment
  • Experience building developer platforms or infrastructure-adjacent products
  • Familiarity with observability tooling in production environments
  • Experience in generative AI inference, training and compute space
  • Background in distributed systems, container orchestration, or cloud-native architectures
  • Experience with real-time systems, streaming logs, or high-throughput data pipelines
  • Exposure to Kubernetes, Prometheus, Datadog, gRPC, or similar systems
  • Entrepreneurial mindset and strong ownership mentality

Lab profile

About fal

Generative media infrastructure platform for high-performance inference, orchestration, and model access at scale.

What they build

  • Generative media platform
  • High-performance inference APIs
  • Model orchestration

Known for

  • High-performance inference at scale
  • Unified inference, orchestration and observability
  • Idea-to-production for developers and enterprises
More about fal →
Apply on the lab’s site ↗