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Staff Software Development Engineer in Test

External
Fivetran logoFivetran · Oakland
$187K–$233K/yrFull-timeOn-site5d ago
AWSAzureChaos EngineeringCI/CDCircleCIDatadog
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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

Responsibilities

  • 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
  • #LI-HYBRID #LI-DJ1
  • Oakland Pay Range
  • $186,717 - $233,396.50 USD

Benefits

100% employer-paid medical insurance *Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days offRSU stock grants*Professional development and training opportunitiesCompany virtual happy hours, free food, and fun team-building activitiesMonthly cell phone stipendAccess to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.May vary by country and worker type - please reach out to your recruiter for more informationClick here to learn more about Fivetran's Benefits by Region.We're honored to be valued at over $5.6 billion , but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes .Health insurancePaid time offRemote work optionsEquity / stock optionsPerformance bonusParental leave

Additional Information

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven.


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