Automation Test lead with AI
Job Description
Automation Test Lead
\nSheffield-UK
\nHybrid Mode to Office
\nInside Ir35
\nExperience 5 Plus Years Leading Automation Testing Projects with strong IAM Testing experience
\nLocation UK
\nRole Summary
\nWe 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 eventdriven PubSub architectures
\nThis role focuses on testing secure scalable workload identities and access workflows across Google Cloud Platform integrating identity services with custom APIs PubSub pipelines and cloudnative applications
\nUsing 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 enterpriselevel cloud and Identity operations
\nKey Responsibilities
\nTest Architecture Strategy and Governance Handson Strategic
\nDefine and maintain an overall test strategy that describes the approach environment scope risks and required resources
\nEstablish test strategies that cover deterministic and nondeterministic AI behaviours
\nDefine and maintain test entry and exit criteria
\nEnsure FRN/FR traceability
\nPerform test case reviews QA to ensure coverage and traceability to requirementsdesign
\nEstablish automation testing standards best practices and governance frameworks across the organisation
\nLiaise with business areas and technical leads on scenario definition across SITOAT UAT and the wider testing lifecycle as required
\nGenerate regulatory evidence as needed
\nAutomation Engineering and CI/CD
\nPlan develop execute maintain and continuously improve automated test frameworks and automated test scripts for IAM applications
\nBuild automation frameworks that integrate AI capabilities for test generation analysis failure triage selfhealing and intelligent reporting supporting capability
\nValidate AI workflows orchestration engines and eventdriven systems PubSub queues etc
\nCreate and manage CICD pipelines to run automated tests generate reports and notify teams of test results
\nTest and validate functions and decision logic defined as code including policyascode
\nGenerate synthetic and anonymised test data
\nTest Delivery Defects and Stakeholder Management
\nDevelop and execute test plans test cases test data test scenarios and associated testing documentation aligned to requirements and technical specifications
\nReport and track defects and issues by writing or automating clear and thorough bug reports attend triage meetings and verify fixes
\nIdentify process and application issues and provide suggestions for improvement
\nCommunicate progress regularly to senior stakeholders and programme leads tailoring the level of detail to the audience
\nTechnical Leadership Nonline management
\nProvide technical leadership by leading and mentoring engineers within the team
\nCollaborate effectively within the wider test team
\nAbility to continuously learn and adapt to new technologiestools eg AI tools and agentic AI
\nDeliver within an Agile methodology
\nRequired Skills
\nExtensive experience in Identity and Access Management IAM
\nStrong backend automation experience using Python and Pytest with 5 years leading automation projects
\nProven experience testing functions and decision logic defined as code including policyascode
\nExperience validating eventdriven platforms PubSub queues Kafka etc and batch processing
\nExperience with identity warehousing and protocolsformats for data ingestion including SCIM REST API LDAP OIDC and CSV
\nExperience with policybased testing RBAC ABAC ReBAC PBAC
\nExperience in consumerdriven contract testing
\nExperience in riskbased test prioritisation
\nDevOps CICD integration experience including integrating automation tests into GitHub and CICD pipelines and implementing shiftleft testing practices
\nStrong 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
\nExtensive experience using JIRA and Zephyr mandatory
\nExperience executing defined test plans including coordination tracking and reporting
\nExcellent verbal and written communication skills with proven stakeholder engagement at all levels
\nProven ability to lead and mentor engineers technical leadership
\nDesired Skills
\nKnowledge of AI governance model evaluation explainability and responsible AI principles
\nExposure to orchestration tools like n8n
\nExposure to GenAI tool integrations into Quality Engineering
\nExperience testing solutions built on GraphDB Neo4j
\nExperience testing OPA Rego policies
\nExposure to containerised test execution
\nKnowledge of JMeter Gatling
\nSkills
\nMandatory Skills : PyTest-Automation, Python Data Automation Testing
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