Automation Test Lead - IAM

Role Summary

We are looking for a highly skilled Automation Test Lead with strong expertise in Identity and Access management (IAM), skilled in identity orchestration, API testing, data ingestion and transformation, and event-driven (Pub/Sub) architectures.

This role focuses on testing secure, scalable workload identities and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications.

Key Responsibilities

Test Architecture, Strategy and Governance (Hands-on + Strategic)

• Define and maintain an overall test strategy that describes the approach, environment, scope, risks, and required resources.
• Establish test strategies that cover deterministic and non-deterministic AI behaviours
• Define and maintain test entry and exit criteria.
• Ensure FR/NFR traceability.
• Perform test case reviews/QA to ensure coverage and traceability to requirements/design.
• Establish automation testing standards, best practices, and governance frameworks across the organisation.
• Liaise with business areas and technical leads on scenario definition across SIT/OAT/UAT and the wider testing lifecycle, as required.

Required Skills:

• Extensive experience in Identity and Access Management (IAM).
• Strong backend automation experience using Python and Pytest, with 5+ years leading automation projects.
• Proven experience testing functions and decision logic defined “as code”, including policy-as-code.
• Experience validating event-driven platforms (Pub/Sub, queues, Kafka, etc.) and batch processing.
• Experience with identity warehousing and protocols/formats for data ingestion including SCIM, REST API, LDAP, OIDC, and CSV.
• Experience with policy-based testing (RBAC / ABAC / ReBAC / PBAC).
• Experience in consumer-driven contract testing.
• Experience in risk-based test prioritisation.
• DevOps & CI/CD integration experience, including integrating automation tests into GitHub and CI/CD pipelines and implementing shift-left testing practices.
• Strong experience in cloud testing approaches and methodology, especially GCP; additional exposure to AWS, Azure, Entra, Ali Cloud, and systems such as ServiceNow, AD, and ADLDS.
• Extensive experience using JIRA and Zephyr (mandatory).