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).