Lead Test Automation Engineer
HybridNoida, Uttar Pradesh, India
Job Summary
Lead the design, build, and optimization of automated test suites across UI, API, and data layers, including data validation and reconciliation testing against Snowflake and other SQL-based platforms. Define and drive the test automation strategy for the data platform, setting shared standards and embedding automated testing into CI/CD pipelines so quality gates run consistently as part of every build. Collaborate with developers, data engineers, and architects to identify testing gaps, troubleshoot failures, and enable other engineers to write and maintain their own automated tests. Create transparency around test coverage and quality metrics through dashboards and reporting to technical and non-technical stakeholders. Work in an agile environment with minimal supervision, focusing on continuous improvement of test reliability and speed.
Required Qualifications
- 8+ years of practical experience setting up testing frameworks and writing automated tests for UI (e.g. SpecFlow) and API (e.g. REST Assured or similar)
- Solid SQL skills and practical experience testing data platforms such as Snowflake, including data validation, reconciliation, and pipeline testing
- Experience embedding automated tests into CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) so testing runs as a natural part of build and release
- Demonstrated ability to work with minimal supervision and lead test strategy across multiple teams, while also collaborating effectively with developers, data engineers, and stakeholders
- Clear communication skills — able to explain testing strategy, coverage, and risk clearly to both technical and non-technical audiences
- Experience mentoring or enabling other engineers to adopt good testing practices
- Programming/scripting skills (e.g. Python, Java, C#) to build and maintain test frameworks and tooling
- Flexibility in working hours
- Hybrid working arrangements (at least 2x a week in the office)
Desired Qualifications
- Experience with test reporting and quality dashboards
- Finance or investment management domain knowledge
- Genuine interest in AI, with practical experience using AI tools to speed up test creation and maintenance
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