Senior Data Ingestion & Cloud Infrastructure Engineer

Speechify; Lexington (KY); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salaries

Asynchronous culture

Remote-friendly team

Job summary

Speechify in the United States is hiring a Data Engineer to own data collection and support model training. You will help build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research.

You will work with data scientists to optimize ingestion pipelines on GCP, using Terraform, Bash, and Python, and contribute to broader dataset roadmaps for consumer and enterprise products.

Qualifications

• BS/MS/PhD in Computer Science or related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments.
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
• Experience with web crawlers, large-scale data processing workflows is a plus.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

Responsibilities

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline.
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next‑generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next‑generation consumer and enterprise products.

Skills

5+ years of software development

bash/Python scripting

Docker

Terraform / IaC

Cloud (GCP)

Strong communication

Education

BS/MS/PhD in Computer Science

Tools

Google Cloud Platform

Terraform

Job description

Speechify in the United States is hiring a Data Engineer to own data collection and support model training. You will help build high-quality datasets at petabyte scale by tightly integrating infrastructure, engineering, and research.

You will work with data scientists to optimize ingestion pipelines on GCP, using Terraform, Bash, and Python, and contribute to broader dataset roadmaps for consumer and enterprise products.