About the job
About Us
At Speak, we are on a mission to transform the way individuals engage with language learning.
Learning a new language has the power to transform lives, unlocking opportunities in diverse cultures, careers, and communities. With two billion people globally seeking to learn a language, the most effective method—one-on-one tutoring—remains difficult to access on a large scale and has seen little innovation for decades. Speak is pioneering an AI-driven, human-level tutoring experience that fits in your pocket: a conversation-first platform enabling learners to practice speaking, receive immediate feedback, and advance through meticulously crafted lessons. Our approach provides a comprehensive journey from novice to confident speaker in multiple languages.
Launched in South Korea in 2019, Speak has quickly risen to become the leading language learning application in the region, catering to learners across various markets in over 15 languages. As one of the foremost AI companies globally, we have secured over $150 million in venture capital from prominent investors such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a distributed team operating across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
About This Role
As a Platform Engineer at Speak, you will play a pivotal role in enhancing the reliability and resilience of our systems that support the global language learning experience. You will lead initiatives to scale our infrastructure, fortify our platform, and ensure our services are fast, accessible, and dependable for millions of users worldwide.
Your work will span our entire tech stack—from Kubernetes on GCP to our Node.js APIs, Postgres, and Redis—creating robust infrastructure and operational tools. You will take charge of incident response, observability, and SLOs, fostering a culture of reliability throughout the engineering organization.
With Speak's rapid growth, we are continuously pushing our systems to their limits. This is a unique opportunity to influence the future of our platform as we scale to accommodate the next tenfold increase in users.

