Staff Software Development Engineer in Test

About the Role

Fivetran is building data pipelines to power the modern data stack. As a Staff SDET, you'll lead from the front — owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. The role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence, with an emphasis on leveraging AI-driven solutions to accelerate testing and enhance developer productivity.

This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Languages: Java 17+, JUnit, REST Assured, Shell scripting; Python (optional)

• Infra & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite

• Cloud: AWS, GCP, Azure

• Observability: Grafana, Prometheus, Datadog

• CI/CD: Jenkins, CircleCI, GitHub Actions

• Databases: Postgres, MongoDB

What You’ll Do

• Architect 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 business objectives

Skills We’re Looking For

• 8+ years in software with a focus on building test automation frameworks and infrastructure at scale

• Writes critical/common code shared across multiple teams

• Expert in design principles applied to test architecture

• Strong OOP skills (preferably Java)

• Hands-on with cloud platforms, CI/CD systems, and container orchestration (Docker, Kubernetes)

• Strong understanding of data engineering and large-scale distributed systems

• Demonstrated ability to drive initiatives across multiple teams

Bonus Skills​

• Knowledge of ELT pipeline testing (data integrity, schema evolution, pipeline reliability)

• Experience incorporating AI techniques to improve test efficiency and defect detection

• Experience with shift-left testing, chaos engineering, or autonomous testing

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