





Remote mid-level role with a generic Software Engineer title and metro location increases candidate competition.
Specialized data ingestion and cloud skills transfer across AI/data companies, but less to non-tech industries.
Mandatory 5+ years plus cloud, Terraform, Docker, and scripting skills cause strict shortlisting.
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Own sourcing and ingestion of large-scale audio data for model training, focusing on cost, quality, and throughput improvements.
Operate and extend cloud-based ingestion infrastructure on GCP using Terraform and related tools.
Collaborate with AI Scientists and leadership to define and execute the dataset roadmap powering next-gen consumer and enterprise AI products.
Bachelor's, Master's, or PhD in Computer Science or related field.
5+ years of industry experience in software development.
Proficiency in bash/Python scripting, Docker, Infrastructure-as-Code (Terraform), and experience with major cloud providers (specifically GCP).
Experience with web crawlers or large-scale data processing workflows is a plus but not mandatory.
Experienced in building and scaling data ingestion pipelines for AI/ML workloads at petabyte scale.
Comfortable working with cross-functional AI teams to optimize data quality, throughput, and cost trade-offs.
Thrives in a distributed, fast-paced startup environment with entrepreneurial ownership over data infrastructure.