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Senior

Senior Software Development Engineer in Test

Confirmed live in the last 24 hours

Fivetran

Fivetran

Bengaluru, Karnataka, India, APAC
Hybrid
Posted March 23, 2026

Job Description

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.

About the Role

We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.

As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.

This is a full-time position based out of our Bangalore 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

  • Java11, JUnit5,
  • Docker and Kubernetes
  • AWS, GCP
  • Terraform, WireMock, RestAssured
  • Bazel, BuildKite

What You’ll Do

  • Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
  • Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
  • Write high-signal test strategies for complex features and automate them across multiple environments.
  • Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
    • Build internal tools and proof-of-concepts using AI/LLM technologies to:
    • Accelerate debugging and failure triaging
    • Generate high-quality test scenarios
    • Detect flaky patterns or regression risks
    • Improve log analysis and root-cause identification
    • Enhance developer and QA productivity

  • Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
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