Remote Platform Backend Engineer – AI-Driven TTS & Payments

Speechify

Fresno (CA)

On-site

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

Speechify is seeking a Senior Backend Engineer to design, develop, and maintain robust APIs and backend services, including payments, analytics, subscriptions, and text-to-speech. You will align architecture with product strategy while delivering scalable solutions.

The ideal candidate has strong TS/Node experience, cloud proficiency (GCP, AWS, Azure), and knowledge of Docker and Kubernetes; autonomy and a fast-paced environment drive impact for users with learning differences.

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.

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

Backend development (TS/Node)
Analytical thinking
Task prioritization

Tools

GCP
AWS
Docker
Kubernetes
REST APIs

Job description

Speechify is seeking a Senior Backend Engineer to design, develop, and maintain robust APIs and backend services, including payments, analytics, subscriptions, and text-to-speech. You will align architecture with product strategy while delivering scalable solutions.

The ideal candidate has strong TS/Node experience, cloud proficiency (GCP, AWS, Azure), and knowledge of Docker and Kubernetes; autonomy and a fast-paced environment drive impact for users with learning differences.

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