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Prefect

Cloud platform for orchestrating data workflows

Developer Success Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Fluency in Python sufficient to read and debug other people's code.
  • Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, sufficient to troubleshoot a deployment the candidate did not build.
  • Experience with a workflow orchestrator such as Prefect, Dagster, Airflow, or a comparable tool, and a strong interest in data engineering.
  • A track record of technical, customer-facing work in support, solutions engineering, developer relations, or a similar field.
  • Written communication skills sufficient to explain a root cause to a skeptical senior engineer and earn their trust.
  • Availability to work 09:00–18:00 CET (UTC ±2) and participate in 24/7 on-call rotations.

Responsibilities

  • Diagnose problems across Prefect and Dagster installations, integrations, deployments, and their cloud and container environments; identify root causes and turn findings into documentation, debugging resources, and tooling that reduce repeat support submissions.
  • Take accountability for root causes within the products' scope of support and provide customers with a clear, constructive path forward for issues outside that scope.
  • Support diagnoses with evidence and logic, request the information needed from customers to troubleshoot both sides of an issue, explain why it is needed, and remain open to missed possibilities.
  • When issues require escalation, remain the customer's single point of contact, provide regular updates, and close the loop.
  • File reproducible product issues and surface recurring failure patterns to Engineering and Product.
  • Work the support queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across customer cloud environments.
  • Ask for guidance when the scope of support or escalation path is unclear, and develop judgment about when an issue belongs with Customer Engineering or a customer success manager.
  • Prioritize the support queue and failure state in front of the team; code contributions and consultative work are secondary and may expand as agent tooling absorbs formulaic work.

Desired Qualifications

  • Direct experience with Prefect or Dagster.
  • Open-source contributions to any project.
  • Familiarity with SQL and data warehouses.
  • Experience building support tooling or automation.

About the Company

Prefect

Cloud platform for orchestrating data workflows

Prefect provides a cloud-based platform to automate, orchestrate, and monitor data workflows for developers, data engineers, and IT teams. Users define workflows and tasks in Prefect’s interface and deploy them to environments like Kubernetes or staging servers; the service handles scheduling, execution, and observability. It differentiates itself with a cloud-first orchestration layer, flexible deployment options, and a mix of free and predictable paid plans for production workloads and security needs. The goal is to make data workflow orchestration reliable, scalable, and accessible for teams of all sizes to automate data processing and AI workloads.

Company size
51-200
Company stage
Series B
Total funding
$46M
Headquarters
Washington DC, District of Columbia
Founded
2018

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