Software Engineer, Full Stack (Serverless)
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At a glance
Job overview
Fal is hiring a Software Engineer, Full Stack (Serverless). Fal is a generative media ecosystem building infrastructure, tools, and model access for AI products. The company seeks a Full Stack Engineer to design and ship reusable, scalable Serverless platform features, collaborating with product and infrastructure teams to deliver high‑performance, reliable systems for enterprise customers.
Key focus areas include Build and maintain core Serverless UI features such as dashboards, logs, and observability, Design and implement backend APIs powering the Serverless product experience, and Improve performance, reliability, and scalability of customer‑facing systems.
Successful candidates bring Experience Across Frontend And Backend and Experience Owning Features End-To-End In Production Systems. Important skills include TypeScript, Python, PostgreSQL, Next.js, Context Switching, and Clean Abstractions. Preferred (not required): Developer Platforms, Infrastructure-Adjacent Products, Observability Tooling, and Logging.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
About this role: As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers fal’s Serverless platform. This is a deeply product-focused role. You will work side-by-side with Product and Infrastructure to design and ship reusable, scalable systems that enterprise customers rely on in production every day.
You will be a foundational technical owner of fal Serverless as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed.
What you’ll work on:
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Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)
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Design and implement backend APIs that power the Serverless product experience
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Improve performance, reliability, and scalability of customer-facing systems
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Work closely with Infrastructure to ensure product features align with platform capabilities
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Own features end-to-end, from design through production and iteration
What we’re looking for:
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Strong experience working across both frontend and backend
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Proficiency with TypeScript, Python, Postgres, and Next.js
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Experience owning features end-to-end in production systems Ability to context switch between UI, backend, and performance work
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Product-minded engineer who values clean abstractions and long-term maintainability
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Comfortable working in a fast-moving, low-process environment
Nice to have:
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Experience building developer platforms or infrastructure-adjacent products
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Familiarity with observability tooling (logging, metrics, tracing) in production environments
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Background in distributed systems, container orchestration, or cloud-native architectures
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Experience with real-time systems, streaming logs, or high-throughput data pipelines
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Exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems
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Entrepreneurial mindset and strong ownership mentality
What we offer at fal:
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Interesting and challenging work
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Competitive salary and equity
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A lot of learning and growth opportunities
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We offer relocation assistance to San Francisco.
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Health, dental, and vision insurance (US)
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Regular team events and offsite
Location:
- San Francisco, CA
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