Platform Backend Engineer – Scale APIs & TTS

Speechify

Manchester

On-site

GBP 65,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Autonomy and ownership
Asynchronous work culture
Impact in AI/audio domain
Inclusive workplace

Job summary

Speechify is seeking a Platform-focused Software Engineer in Manchester to design, develop, and maintain robust backend services covering payments, analytics, subscriptions, text-to-speech, and external APIs.

Join a flat, fast-moving team that values strategic thinking, strong engineering fundamentals, and delivering high-quality APIs with scalable architecture. Autonomy and impact are emphasized in this AI/audio domain.

Qualifications

  • Direct experience with GCP and knowledge of AWS/Azure cloud providers.
  • Experience deploying containerized apps with Docker.
  • Proficiency deploying highly available backend services 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, 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 product strategy and user experience

Skills

GCP experience
Cloud providers (AWS/Azure)
API design
Backend architecture
High availability
Docker
Kubernetes
Cross-functional collaboration

Tools

Docker
Kubernetes

Job description

Speechify is seeking a Platform-focused Software Engineer in Manchester to design, develop, and maintain robust backend services covering payments, analytics, subscriptions, text-to-speech, and external APIs.

Join a flat, fast-moving team that values strategic thinking, strong engineering fundamentals, and delivering high-quality APIs with scalable architecture. Autonomy and impact are emphasized in this AI/audio domain.

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