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  <jobs>
    <job>
      <externalid>2a88ee59-dc6</externalid>
      <Title>Full Stack Engineer (Serverless)</Title>
      <Description><![CDATA[<p>We&#39;re building the fastest and most scalable infrastructure for AI inference. As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers our Serverless platform. This is a deeply product-focused role where 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.</p>
<p>You will be a foundational technical owner of our Serverless product 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.</p>
<p>Your responsibilities will include:</p>
<ul>
<li>Building and maintaining core Serverless UI features (dashboards, logs, observability, configuration, usage)</li>
<li>Designing and implementing backend APIs that power the Serverless product experience</li>
<li>Improving performance, reliability, and scalability of customer-facing systems</li>
<li>Working closely with Infrastructure to ensure product features align with platform capabilities</li>
<li>Owning features end-to-end, from design through production and iteration</li>
</ul>
<p>We&#39;re looking for a strong experience working across both frontend and backend, proficiency with TypeScript, Python, Postgres, and Next.js, and experience owning features end-to-end in production systems. Ability to context switch between UI, backend, and performance work, product-minded engineer who values clean abstractions and long-term maintainability, comfortable working in a fast-moving, low-process environment.</p>
<p>Nice to have experience building developer platforms or infrastructure-adjacent products, familiarity with observability tooling (logging, metrics, tracing) in production environments, background in distributed systems, container orchestration, or cloud-native architectures, experience with real-time systems, streaming logs, or high-throughput data pipelines, exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems, entrepreneurial mindset and strong ownership mentality.</p>
<p>We offer interesting and challenging work, competitive salary and equity, a lot of learning and growth opportunities, visa sponsorship and relocation assistance, health, dental, and vision insurance, regular team events and offsite.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$150,000 - $230,000 + equity + comprehensive benefits package</Salaryrange>
      <Skills>TypeScript, Python, Postgres, Next.js, serverless, backend APIs, frontend development, observability tooling, distributed systems, container orchestration, cloud-native architectures, real-time systems, streaming logs, high-throughput data pipelines, Kubernetes, Prometheus, Datadog, gRPC</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Fal</Employername>
      <Employerlogo>https://logos.yubhub.co/fal.com.png</Employerlogo>
      <Employerdescription>Fal builds infrastructure for AI inference and has scaled to handle tens of millions of requests per day.</Employerdescription>
      <Employerwebsite>https://www.fal.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/fal/jobs/4112697009</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>