About the company
Fivetran is building data pipelines to power the modern data stack for thousands of companies. 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.
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 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.
- 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.
- Collaborate with engineering and product leaders to align testing priorities and business objectives.
Requirements
- 6+ 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, Buildkite.
- Experience working with backend automation frameworks.
- Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy.
Conditions
- 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.