{"id":141869,"url":"https://alion.io/job/fal-software-engineer-full-stack-serverless","title":"Senior Software Engineer, Full Stack (Serverless)","company":{"id":44380,"name":"Fal","domain":"fal.ai","url":"https://alion.io/company/fal","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":23,"ghost_share":0,"stale_share":0.348,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Datadog","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-01-27T19:13:37Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-16T12:34:28Z","board_verified":true,"closed_at":null,"days_open":261,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":261},"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.\nAs 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.\nAbout this role:\nAs 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.\nYou 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.\nWhat you’ll work on:\nBuild and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)\n\nDesign and implement backend APIs that power the Serverless product experience\n\nImprove performance, reliability, and scalability of customer-facing systems\n\nWork closely with Infrastructure to ensure product features align with platform capabilities\n\nOwn features end-to-end, from design through production and iteration\n\nQualifications:\nMinimum 5+ years experience working across both frontend and backend\n\nAbility to context switch between UI, backend, and performance work\n\nProficiency with TypeScript, Python, Postgres, and Next.js\n\nExperience owning features end-to-end in production systems\n\nProduct-minded engineer who values clean abstractions and long-term maintainability\n\nComfortable working in a fast-moving, low-process environment\n\nExperience building developer platforms or infrastructure-adjacent products\n\nFamiliarity with observability tooling (logging, metrics, tracing) in production environments\n\nExperience in generative AI inference, training and compute space.\n\nBackground in distributed systems, container orchestration, or cloud-native architectures\n\nExperience with real-time systems, streaming logs, or high-throughput data pipelines\n\nExposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems\n\nEntrepreneurial mindset and strong ownership mentality\n\nWhat we offer at fal:\nInteresting and challenging work\n\nA lot of learning and growth opportunities\n\nHealth, dental, and vision insurance (US)\n\nRegular team events and offsite\n\nU.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:\nfal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender 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