Backend Engineer (TS/Node) for AI Audio Platform

Speechify

Sunnyvale (CA)

On-site

USD 140,000 - 200,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Autonomy
Impactful work
Asynchronous culture

Job summary

Speechify is hiring for a backend-focused role in Sunnyvale, CA. You will design, develop, and maintain robust APIs, including a public TTS API and internal APIs for payments, subscriptions, auth, and consumption tracking, ensuring scalability and reliability.

Ideal candidates will have strong TS/Node backend experience, cloud exposure (GCP with AWS/Azure knowledge), and a bias toward rapid, thoughtful product decisions, high availability deployments, and collaboration with cross-functional

Qualifications

  • Proven experience in backend development: TS/Node (required).
  • Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers.
  • Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
  • Preferred: Experience with Docker and containerized deployments.
  • Preferred: Proficiency in deploying high availability applications on Kubernetes.

Responsibilities

  • Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
  • Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
  • Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
  • Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

Skills

TS/Node
GCP
AWS
Azure
Docker
Kubernetes

Tools

Docker
Kubernetes

Job description

Speechify is hiring for a backend-focused role in Sunnyvale, CA. You will design, develop, and maintain robust APIs, including a public TTS API and internal APIs for payments, subscriptions, auth, and consumption tracking, ensuring scalability and reliability.

Ideal candidates will have strong TS/Node backend experience, cloud exposure (GCP with AWS/Azure knowledge), and a bias toward rapid, thoughtful product decisions, high availability deployments, and collaboration with cross-functional

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