About the job
Mission
At Speechify, our mission is to ensure that reading never stands in the way of learning. We empower over 50 million users worldwide with our innovative text-to-speech technology, enabling them to convert any written content—be it PDFs, books, Google Docs, news articles, or websites—into audio. This allows our users to read faster, absorb more, and enhance their retention. Our offerings, including the iOS app, Android app, Mac app, Chrome extension, and Web app, have garnered accolades such as Chrome Extension of the Year from Google and App of the Day from Apple.
With nearly 200 dedicated professionals operating in a fully remote environment, Speechify is a melting pot of talent from Amazon, Microsoft, Google, Stanford, and dynamic startups like Stripe and Vercel. We foster a culture where innovative thinkers can thrive, and leadership is accessible to all who demonstrate exceptional skills and results.
In this pivotal role, we seek someone who is strategic, thrives in a fast-paced environment, is passionate about product decisions, and has a proven track record of creating exceptional user experiences.
We maintain a flat organizational structure that values initiative and results, emphasizing work ethic, communication skills, and an unwavering drive to succeed.
Our interview process is streamlined, featuring several technical assessments that we aim to finalize within a week.
Overview
As we continue to grow, our AI team is on the lookout for a Senior Backend Engineer. This crucial position involves enhancing our infrastructure for efficient scaling, optimizing product workflows, and building robust end-to-end systems. If you are enthusiastic about strategic thinking, excel in energetic environments, and are ready to take charge of product development, we encourage you to apply.
What You’ll Do
- Develop state-of-the-art voice cloning technology.
- Create low-latency, cost-effective text-to-speech solutions.
Ideal Candidate Qualifications
- Extensive backend development experience, particularly with Python.
- Hands-on experience with Google Cloud Platform (GCP) and familiarity with AWS, Azure, or other cloud services.
- Proficient in ideation and implementation, with the ability to prioritize tasks by urgency and impact.
- Experience with Docker and containerized deployments.
- Skilled in deploying highly available applications using Kubernetes.
- Strong problem-solving abilities and a commitment to continuous improvement.

