Staff Software Development Engineer in Test

Responsibilities

• Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking
• Define and evolve quality strategies covering testability, release readiness, performance, and reliability
• Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops
• Identify systemic risks in business-critical systems and implement robust validation strategies
• Mentor engineers, influence design for testability, and champion best practices across the org
• Collaborate with engineering and product leaders to align testing priorities with platform and business objectives

Requirements

• 8+ years of experience in the software industry focusing on test automation frameworks and infrastructure at scale
• Expert in design principles and applying them to test architecture
• Strong knowledge of OOP, preferably Java
• Hands-on experience with cloud platforms (AWS, GCP, Azure)
• Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI)
• Strong background in infrastructure and container orchestration (Docker, Kubernetes)
• Strong understanding of data engineering concepts and large-scale distributed systems
• Knowledge of ELT pipelines, including testing data integrity and schema evolution
• Ability to incorporate AI techniques to improve test efficiency and productivity

Preferred Qualifications

• Experience with modern build tools like Bazel, Maven, or Gradle
• Experience with observability platforms such as Datadog, Prometheus, or Grafana
• Familiarity with emerging quality engineering practices like chaos engineering or shift-left testing

Benefits

• 100% employer-paid medical insurance
• Generous paid time-off (PTO), sick time, and inclusive parental leave
• RSU stock grants
• Professional development and training opportunities
• Monthly cell phone stipend
• Mental health support platform access

About the Company

Fivetran and dbt Labs are bringing together two industry-leading companies to help organizations unlock the full value of their data by providing the data infrastructure layer for movement, transformation, and trust.