Software Engineer, Platform - Bristol, United Kingdom

speechify·Bristolmid

In short

→Diseñar y mantener APIs críticas para pagos, suscripciones y TTS con 50M+ usuarios.
→Trabajar en sistemas altamente confiables donde el error no es opcional, enfocado en automatización y corrección.
→Crecimiento orgánico: liderazgo sin título, con responsabilidad creciente por decisión y resultado.

No se requiere inglés, pero el puesto es en inglés.

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What they ask for

✓Experiencia comprobada en backend con TS/Node
✓Experiencia directa con GCP
✓Conocimiento práctico de AWS o Azure
✓Hábito de ceder tareas que antes gestionabas
✓Uso detallado de agentes de IA en tu flujo diario
✓Instinto para verificar resultados en el sistema real, no en resúmenes

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TypeScriptNode.jsGCPAWSAzureDockerKubernetesREST APIsGraphQLPostgreSQL

Who should you write to at speechify?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics — serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully — it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team — there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u’ ll Do • Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API • Take on services you didn't write and make them faster, cheaper, and harder to break • Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on • Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for • Turn work you've done once into work the whole team can repeat • Design B2B and enterprise integrations for customers building on top of us • Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have • Proven backend experience in TS/Node (required) • Direct experience with GCP; working knowledge of AWS, Azure, or another cloud • A habit of giving away work you used to own, and something to show for the room it created • A daily working setup with AI agents you can describe in detail — what runs unattended, what you review, and where you've decided it doesn't get to act alone • The instinct to check a result against the system itself — logs, database state, the actual request — rather than against a summary of it • Judgment about what not to build, and the ability to say plainly why you dropped it • A preference for being corrected over being right • Preferred: Docker and containerized deployments • Preferred: deploying high-availability applications on Kub

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