Senior Software Development Engineer in Test
Bengaluru, Karnataka, India, APAC · IND - Bengaluru · 5+ years experience · Hybrid · Posted Sep 29, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Hybrid
- Location
- Bengaluru, Karnataka, India, APAC · IND - Bengaluru
About fivetran
- Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
- Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
- Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
- As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
- During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
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.
Responsibilities
- 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, generate high-quality test scenarios, detect flaky patterns, and improve log analysis.
- Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
- Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
- Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
- Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.
Requirements
- 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
- Deep understanding of OOP principles and strong proficiency in Java.
- Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
- Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
- Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
- Experience working with backend automation frameworks.
- Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
- Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
- Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
Preferred qualifications
- Knowledge of database testing and ETL/data pipeline validation is a strong plus.
Benefits
- 100% employer-paid medical insurance
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources
Workplace
- 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.
Skills
- Java11
- JUnit5
- Docker
- Kubernetes
- AWS
- GCP
- Terraform
- WireMock
- RestAssured
- Bazel
- BuildKite
- Jenkins
Show all 13 skills
- CircleCI