Remote Backend Engineer (TS/Node) - Payments & TTS API

Speechify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Asynchronous work culture

Stock options

Remote, distributed team

Job summary

Speechify seeks a backend engineer to design and own the APIs behind payments, subscriptions, auth, consumption tracking, and the public TTS API. You will work on scalable services ensuring correctness across multi-client ecosystems in a distributed environment.

You’ll collaborate with product, mobile, and web teams, deploy with Docker and Kubernetes, and bring a pragmatic, data-driven approach to shipping—balancing speed and correctness while shaping an asynchronous, high-impact work culture.

Qualifications

• Proven backend experience in TS/Node.
• Cloud experience with GCP; knowledge of AWS/Azure.
• Experience with containerized deployments (Docker) and Kubernetes.

Responsibilities

• Design, build, and own the APIs behind payments, subscriptions, auth, consumptiontracking, and our public TTS API.
• Take on services you didn’t write and make them faster, cheaper, and harder to break.
• Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you’ve moved on.
• Automate the parts of your role that shouldn’t need a person, then go take on what that freed you up for.
• Turn work you’ve done once into work the whole team can repeat.
• Design B2B and enterprise integrations for customers building on top of us.
• Work with product, mobile, and web to keep backend architecture ahead of where the product is going.

Skills

TS/Node backend

GCP

AWS/Azure

AI automation

Log analysis

Tools

Docker

Kubernetes

Job description

Speechify seeks a backend engineer to design and own the APIs behind payments, subscriptions, auth, consumption tracking, and the public TTS API. You will work on scalable services ensuring correctness across multi-client ecosystems in a distributed environment.

You’ll collaborate with product, mobile, and web teams, deploy with Docker and Kubernetes, and bring a pragmatic, data-driven approach to shipping—balancing speed and correctness while shaping an asynchronous, high-impact work culture.