Job highlights

- defects often live in interaction effects between layers,not just in isolated functions You should be

Define and implement an end-to-end test automation strategy for a complex metadata-driven platform Build automated test coverage across:

o API layers o platform runtime behavior o metadata interpretation and rendering o multi-tenant routing and execution context o site vs workspace behaviors o authentication, authorization, and session flows o dynamic UI rendering and interaction o AI-assisted workflows and platform integrations

Design regression suites that validate both expected behavior and known high-risk platform areas

Create adversarial, exploratory, and negative-path automation intended to expose hidden bugs and edge-case failures

Develop tests that validate the correctness of context resolution from URL structure and request parameters

Verify that the platform correctly handles tenant isolation and boundary conditions

Build test coverage for metadata-defined views, including malformed, incomplete, conflicting, and unexpected YAML configurations

Validate AI-related user flows, including invocation of agents, tool-driven actions, generated updates, and application of results into the platform

Verify that AI-powered capabilities behave correctly across tenant, site, and workspace boundaries

Validate that changes in backend services do not introduce regressions in platform execution, data loading, rendering behavior, or AI-assisted workflows





Create automated validation for site and workspace execution differences

Build a maintainable framework for:

o API testing o UI/browser testing o integration testing o contract testing o negative testing o concurrency and resilience testing

Partner with engineering leadership, backend engineers, frontend engineers, and AI engineers to identify critical risk areas and define release gates

Integrate automated tests into CI/CD pipelines so regressions are detected early

Help establish quality standards, test data strategies, setting strategies, and defect triage practices

Produce actionable reporting on coverage, quality trends, flaky tests, and platform risk What We

Need We need someone who knows how to test systems where:

behavior is generated dynamically from metadata

UI structure is not static request execution depends on runtime context multiple tenant and application boundaries exist

AI capabilities are embedded into user-facing platform workflows defects often live in interaction effects between layers, not just in isolated functions You should be comfortable working in ambiguity, digging through complex behavior, and building test systems that are both strategic and practical.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Test Automation Engineer / SDET (Pune)
🏢 Codevian Technologies
📍 Pune