Description

You will be an integration hunter, finding customer-impacting failures in the production environment of our data optimization platform.

Responsibilities

• Execute exploratory, production-oriented QA on customer-critical integration paths across tools like DBT, Airflow, Terraform, ADF, and GitHub Actions.
• Recreate and document integration issues surfaced by customers and support.
• Test and validate APIs, CLI, and system behavior under different configurations.
• Partner with Support and Product to prioritize edge case testing aligned with real-world impact.
• File actionable, reproduction-ready bugs with context for engineering.

Required Skills

• 3 years’ experience in software QA, support engineering, or technical testing roles.
• Familiarity with modern data engineering platforms and orchestrators: Airflow, Terraform, DBT, Databricks, GitHub Actions, Azure Data Factory.
• Ability to manually set up test environments and reproduce issues across multiple systems.
• Experience with APIs, CLI tools, and validating system integrations.
• Strong written skills for defect reproduction, test case documentation, and QA communication.
• Self-starter mindset capable of exploring unfamiliar systems and proposing next steps.
• Comfortable testing in complex, high-variance customer environments with non-standard configurations.

Key Skills

Education

Any Graduate