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Senior Platform Engineer, Storage

dbt Labs

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Job Description

Job Overview

dbt Labs is seeking a Senior Platform Engineer specializing in storage services to develop a seamless and reliable platform for dbt Cloud across AWS, Azure, and GCP. The ideal candidate will play a key role in refining and scaling the storage platform, focusing on automation and improving developer velocity while collaborating across teams to solve infrastructure challenges.

Technical Requirements

Required Skills
  • • significant experience designing and operating relational data and object storage platforms in production
  • • programming/scripting ability in Python, Go, Rust or Bash
  • • hands-on experience with one or more cloud providers (AWS, Azure, GCP)
  • • declarative Infrastructure as Code (Terraform preferred)
Preferred Skills
  • • experience building or running multi-tenant storage platforms at scale
  • • deep expertise in PostgreSQL, OpenSearch, Redis, Kafka, RabbitMQ
Experience Level

Senior level with significant hands-on experience

Responsibilities

  • • Design, operate, and scale storage based infrastructure systems across multiple tenancy models and public clouds
  • • Deepen team expertise in relational databases, search, caching, queuing, and streaming
  • • Partner with multiple teams to provide a seamless platform for application teams
  • • Leverage tools and languages such as Terraform, Kubernetes, Helm, Argo CD, Python, SQL, Go, Bash, and Datadog
  • • Participate in a balanced on-call rotation to improve reliability and reduce operational toil

Technical Environment

Languages
Tools & Technologies

Benefits & Perks

  • • Unlimited PTO
  • • Excellent healthcare coverage
  • • Paid parental leave
  • • Wellness and home office stipends

Additional Information

Location
Dublin, Ireland; Ireland - Remote
Type
Full-time
Compensation
102,000 - 124,000 EUR per year, Equity Stake

About dbt Labs

dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

Company Size
unknown
Categories
AI Data Analytics Data Engineering