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Senior Platform Engineer

Backend
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS · Data

Job Description

dltHub is seeking a Senior Platform Engineer to join their team in a hybrid work environment. This role combines infrastructure engineering with data platform expertise, requiring strong skills in Python development and Kubernetes operations. The ideal candidate will have extensive experience building and maintaining data pipelines, working with infrastructure as code, and implementing robust observability solutions. The position offers flexibility with locations in both San Francisco and New York, though regular presence in the SF office is expected. The role requires collaboration across time zones, particularly between San Francisco and Berlin, indicating a global operational scope. The position emphasizes both technical depth in platform engineering and practical experience with modern data technologies like Iceberg, Parquet, DuckDB, and dbt. This is an opportunity to work on cutting-edge data infrastructure while contributing to the development of scalable, efficient systems.

Last updated 2 days ago

Responsibilities For Senior Platform Engineer

  • Build and maintain Python automation (CLI/tools, controllers/operators, SDKs)
  • Manage and operate complex Kubernetes/infrastructure environments
  • Implement and maintain observability systems
  • Work with data platforms and infrastructure

Requirements For Senior Platform Engineer

Python
Kubernetes
  • Experience with Python data pipelines or ingest frameworks
  • Experience with Kubernetes/infrastructure environment provisioning and operation
  • Experience with Infrastructure as Code tools (Terraform/Pulumi)
  • Experience implementing observability (SLIs/SLOs, dashboards, alerts)
  • Willingness to work from SF office regularly
  • Ability to adapt working hours to align with San Francisco and Berlin time zones
  • Experience with data platforms (Iceberg/Parquet/object store, DuckDB, dbt, dlt)

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