Role Summary
We are looking for a highly skilled Automation Test engineer with expertise in Identity and Access management (IAM) back-end validation. Skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on testing secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications.
Using an automation first approach, you will collaborate closely with tech leads, Cloud Security, DevOps, and Application Engineering teams to thoroughly test robust IAM, identity lifecycle workflows, and secure service integrations that support enterprise-level cloud and Identity operations.
Key Responsibilities
Build and maintain an automated test framework and suites for API, event, and graph-based services (Python/PyTest).
Define and execute test plans/cases/data aligned to requirements and technical specs; maintain FR/NFR traceability.
Validate IAM concepts and access models (RBAC/ABAC/ReBAC/PBAC) and test decision points "as code" (policy-as-code).
Perform API automation, contract testing, and replay/reprocessing scenarios.
Validate graph data (nodes/relationships/hop logic) and event lineage/change behaviour. Experience in Neo4J is preferred.
Produce regulatory evidence as required; support entry/exit criteria and test governance activities.
Create/manage Jenkins pipelines to manage tests executions and reporting as part of CI/CD.
Log, track, and drive defects through triage to closure (JIRA/ Zephyr); communicate progress to stakeholders.
Collaborate with Cloud Security, DevOps, and Engineering teams; contribute to improving testability and quality.GCS is acting as an Employment Business in relation to this vacancy