Remote Backend Engineer (TS/Node) — Payments & TTS API

Speechify; United States; A distancia; USD 30.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Autonomy

Asynchronous work culture

Stock options

Competitive compensation

Descripción de la vacante

Speechify in the United States is seeking a backend engineer to design, build, and own scalable APIs for payments, subscriptions, auth, and analytics, supporting millions of users across iOS, Android, Mac, Chrome, and web. You will optimize systems for reliability and work with product teams to drive containerized deployments on Kubernetes, with an emphasis on asynchronous collaboration.

This role offers autonomy and a direct impact on speech-based learning accessibility, plus a pathway to grow

Formación

• Proven backend experience in TS/Node (required).
• Direct experience with GCP; working knowledge of AWS, Azure.
• A habit of giving away work you used to own and a demonstrable impact.

Responsabilidades

• 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.

Conocimientos

TS/Node backend

GCP experience

AWS/Azure

Automation mindset

Herramientas

Docker

Kubernetes

Descripción del empleo

Speechify in the United States is seeking a backend engineer to design, build, and own scalable APIs for payments, subscriptions, auth, and analytics, supporting millions of users across iOS, Android, Mac, Chrome, and web. You will optimize systems for reliability and work with product teams to drive containerized deployments on Kubernetes, with an emphasis on asynchronous collaboration.

This role offers autonomy and a direct impact on speech-based learning accessibility, plus a pathway to grow