Data Infrastructure Engineer – Ingestion & Scale

United States Digital Space LLC; Manchester; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Fast-growing environment

Entrepreneurial-minded team

Asynchronous culture

Impactful, life-changing product

Job summary

United States Digital Space LLC is building AI-powered text-to-speech datasets in a distributed environment. We are hiring a Software Engineer to own data collection and ingestion, collaborating with researchers and cloud engineers to scale our pipeline on GCP and Terraform.

You will source audio data, maintain ingestion infrastructure, and help drive a dataset roadmap to power next-generation products. The role requires 5+ years of software development, Python/bash, Docker, and strong

Qualifications

• BS/MS/PhD in Computer Science or related field.
• 5+ years of industry software development experience.
• Proficiency with bash/Python scripting in Linux.
• Docker and Infrastructure-as-Code with at least one major cloud (GCP).
• Experience with web crawlers or large-scale data processing is a plus.
• Strong communication skills.

Responsibilities

• Source audio data for ingestion into the pipeline.
• Operate and extend ingestion infrastructure on GCP using Terraform.
• Collaborate with Scientists to improve cost, throughput and data quality.
• Collaborate with AI Team leadership to craft dataset roadmaps.

Skills

Python

Linux

Docker

Terraform

GCP

Data ingestion

Data processing

Communication

Education

BS/MS/PhD in Computer Science or related field

Tools

Terraform

Job description

United States Digital Space LLC is building AI-powered text-to-speech datasets in a distributed environment. We are hiring a Software Engineer to own data collection and ingestion, collaborating with researchers and cloud engineers to scale our pipeline on GCP and Terraform.

You will source audio data, maintain ingestion infrastructure, and help drive a dataset roadmap to power next-generation products. The role requires 5+ years of software development, Python/bash, Docker, and strong