Platform Backend Engineer - Scalable APIs & TTS

Speechify

Boulder City (NV)

On-site

USD 140,000 - 200,000

Full time

17 hours ago
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Benefits offered by this job

Competitive compensation
Stock options
Asynchronous work culture
Impactful product for dyslexia
Remote-first environment

Job summary

Speechify, a 100% distributed company, seeks a Software Engineer, Platform to design, develop, and maintain robust backend services and APIs (TTS, Payments, Subscriptions) that scale for millions of users in a fast-paced, product‑driven environment.

You will partner with cross‑functional teams to align architecture with product strategy, own HA deployments with Docker/Kubernetes, and help enterprise integrations for B2B clients.

Qualifications

  • 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

GCP
AWS
Azure

Tools

Docker
Kubernetes

Job description

Speechify, a 100% distributed company, seeks a Software Engineer, Platform to design, develop, and maintain robust backend services and APIs (TTS, Payments, Subscriptions) that scale for millions of users in a fast-paced, product‑driven environment.

You will partner with cross‑functional teams to align architecture with product strategy, own HA deployments with Docker/Kubernetes, and help enterprise integrations for B2B clients.

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