6 months ago
Bengaluru, IndiaSenior
Responsibilities
- Review requirements, specifications, and technical design documents and provide meaningful, risk-focused feedback.
- Design and evolve scalable Java automation frameworks emphasizing reliability, performance, and data correctness.
- Create test strategies for complex features and automate tests across multiple environments.
- Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
- Build internal AI- and LLM-based tools for debugging, failure triage, test scenario generation, flaky-pattern detection, regression-risk detection, log analysis, and root-cause identification.
- Design AI-assisted workflows that integrate with existing automation and release pipelines.
- Experiment with and implement agent-based systems and LLM-powered tooling for development and testing.
- Measure and improve engineering impact using reliability metrics, automation efficiency, and defect-prevention signals.
- Collaborate with engineering teams to promote quality ownership and automation-first practices.
- Coach quality engineers in advanced automation engineering practices.
Requirements
- 5+ years of software industry experience with a focus on quality, automation, and engineering excellence.
- Strong proficiency in Java and a deep understanding of object-oriented programming principles.
- Expertise designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
- Strong understanding of distributed systems risks including schema drift, idempotency failures, data inconsistencies, and race conditions.
- Hands-on experience with cloud platforms including AWS, GCP, or Azure and containerized environments including Docker and Kubernetes.
- Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, or Buildkite.
- Experience with backend automation frameworks.
- Knowledge of database testing and ETL/data pipeline validation is a strong plus.
- Demonstrated ability to use AI and LLM tools to accelerate development, debugging, test design, or automation.
- Experience building AI-assisted tools, workflows, or agents integrated into engineering pipelines.
- Ability to design prompt strategies, rigorously validate LLM outputs, and implement safeguards against hallucinations or unsafe automation.
- Experience using AI to streamline workflows and improve measurable engineering productivity.
- Comfort feeding, tuning, and orchestrating AI agents to solve engineering problems.
Benefits
- Full-time position based in the Bangalore office with a hybrid model offering remote flexibility and two in-office days per week.
- 100% employer-paid medical insurance, subject to country and worker type.
- Paid time off, paid sick time, inclusive parental leave, holidays, and volunteer days off.
- RSU stock grants, subject to applicable terms.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and mindfulness resources for covered employees and dependents.
Tech Stack
Categories
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.