Platform Engineer - Self-Service Data Platform

Skills

About the Role

You will build and maintain self-service data storage, access tooling, and reusable platform services for large multimodal datasets. You will create reproducible workflows, extend infrastructure-as-code and deployment pipelines, and implement secure access controls and data classification.

Requirements

• Have 3–5+ years of production platform or infrastructure experience.
• Use Terraform infrastructure-as-code.
• Work hands-on with Kubernetes, Helm, and containers.
• Understand object stores, relational databases, modern storage formats, and data workflows.
• Know data orchestration tooling such as Dagster, Airflow, or Prefect.
• Use Python or a comparable language for data and platform work.
• Implement access control and least-privilege practices in code.
• Build self-service platform capabilities with a platform-as-a-product mindset.

Responsibilities

• Build and maintain self-service storage architecture and access tooling for multimodal datasets.
• Create internal platform services and paved roads for self-service data access and processing.
• Design reproducible data workflows using object stores and modern storage formats.
• Extend Terraform infrastructure-as-code and CI/CD pipelines.
• Implement access control, data classification, and least-privilege access in code.
• Determine which capabilities should become reusable platform products.

Benefits

• Meaningful equity.
• Flexible and remote-friendly working.

Hiring Process

Screening; 30-minute hiring manager interview; technical assessment; operational case study and presentation; executive interview; offer; onboarding.