About the job
Mission
At Speechify, our mission is to eliminate reading barriers to learning. With over 50 million users, our text-to-speech products transform various reading materials—PDFs, books, Google Docs, news articles, and websites—into audio, enabling users to read faster, retain more information, and enjoy seamless learning.
Our innovative text-to-speech offerings include an iOS app, Android app, Mac app, Chrome extension, and web app. Recognized for excellence, Speechify has been awarded Chrome Extension of the Year by Google and App of the Day by Apple.
We are a fully distributed team of nearly 200 professionals, including frontend and backend engineers, AI research scientists, and industry experts from top-tier companies like Amazon, Microsoft, and Google, as well as graduates from prestigious institutions such as Stanford. This diverse team thrives in a collaborative environment without a physical office, fostering creativity and innovation.
This pivotal role is ideal for strategic thinkers who thrive in dynamic settings and are passionate about creating delightful user experiences. We value a strong work ethic, exceptional communication skills, and a winning mentality.
Our interview process is efficient, consisting of several technical discussions, typically completed within a week.
Overview
As we grow, Speechify's AI team is on the lookout for a Senior Backend Engineer. In this critical position, you will help scale our infrastructure, optimize essential product flows, and build robust end-to-end systems. If you love strategizing, excel in fast-paced environments, and are keen to take charge of product decisions, we want to hear from you!
Your Responsibilities
- Develop state-of-the-art voice cloning technologies.
- Create low-latency and cost-effective text-to-speech solutions.
Ideal Candidate Qualifications
- Proven expertise in backend development, specifically with Python.
- Hands-on experience with Google Cloud Platform (GCP) and familiarity with AWS, Azure, or other cloud providers.
- Ability to efficiently ideate and implement solutions, prioritizing tasks based on urgency and impact.
- Experience with Docker and containerized deployments.
- Proficiency in deploying high-availability applications using Kubernetes.
- Strong problem-solving skills and a passion for technology.

