Distributed Backend Engineer – APIs, TTS & Cloud

Speechify

United States

Remote

USD 30,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Remote-first culture
Stock options
Bonus potential
Competitive compensation
Asynchronous work culture

Job summary

Speechify is seeking a backend-focused engineer to design, build, and maintain scalable APIs and services that power our text-to-speech platform. You will own the backend API landscape, driving performance, reliability, and seamless enterprise integrations.

Ideal candidates bring TS/Node expertise, strong cloud knowledge (GCP, with AWS/Azure as bonus), and comfort with containerized deployments and Kubernetes. This is a remote, full-time role in a fast-paced, async, impact-driven culture.

Qualifications

  • Proven backend development experience with TS/Node.
  • Direct experience with GCP; knowledge of AWS/Azure or other clouds.
  • Ability to ideate and implement tasks by impact and urgency.
  • Preferred: Docker/containerized deployments.
  • Preferred: Deploying HA apps on Kubernetes.

Responsibilities

  • Design, develop, and maintain robust APIs (public TTS API, internal APIs for Payment, Subscription, Auth, Consumption Tracking).
  • Oversee and optimize the full backend API landscape for performance and maintainability.
  • Collaborate on B2B solutions; tailor integrations for enterprise clients.
  • Work with cross-functional teams to align backend architecture with product strategy and user experience.

Skills

TS/Node (required)
GCP
AWS/Azure
Docker
Kubernetes

Tools

Docker
Kubernetes

Job description

Speechify is seeking a backend-focused engineer to design, build, and maintain scalable APIs and services that power our text-to-speech platform. You will own the backend API landscape, driving performance, reliability, and seamless enterprise integrations.

Ideal candidates bring TS/Node expertise, strong cloud knowledge (GCP, with AWS/Azure as bonus), and comfort with containerized deployments and Kubernetes. This is a remote, full-time role in a fast-paced, async, impact-driven culture.

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