Test Automation Specialist

Job title : Automation Test Engineer – IAM \& AI-Enabled Cloud Security Testing Location : Sheffield, UK Work mode : Hybrid - 3 days weekly from office Skills : Automation Testing, AI/ML, IAM, GCP and Python. We at Coforge are looking for Automation Test Engineer – IAM \& AI-Enabled Cloud Security Testing in Sheffield, UK. Role Summary We are seeking a highly skilled Automation Test Engineer with strong expertise in Identity and Access Management (IAM) , cloud-native application testing, and modern automation frameworks. The ideal candidate will have hands-on experience in validating IAM workflows, identity orchestration, API integrations, data ingestion and transformation processes, and event-driven architectures within Google Cloud Platform (GCP) environments. In addition to traditional quality engineering practices, the candidate should possess experience in AI-powered testing , including validating AI/ML-driven applications, automation of testing using AI-assisted tools, prompt and model output validation, and testing integrations involving Generative AI services, LLMs, and intelligent decision-making systems. Working within an automation-first environment , you will collaborate closely with Cloud Security, AI Engineering, DevOps, and Application Development teams to ensure the quality, scalability, security, and compliance of identity services, cloud applications, and AI-enabled platforms supporting enterprise operations. Key Responsibilities IAM \& Cloud Testing * Design, develop, and maintain automated test frameworks and test suites for APIs, event-driven services, identity orchestration workflows, and graph-based applications using Python and PyTest . * Define and execute comprehensive test plans, test cases, and test data aligned with business requirements and technical specifications while maintaining end-to-end traceability. * Validate IAM concepts, access control models, and authorization frameworks, including: * Role-Based Access Control (RBAC) * Attribute-Based Access Control (ABAC) * Relationship-Based Access Control (ReBAC) * Policy-Based Access Control (PBAC) * Perform API automation, contract testing, integration testing, and replay/reprocessing validation for distributed systems. * Validate identity lifecycle workflows including provisioning, de-provisioning, authentication, authorization, and access reviews. * Test event-driven architectures utilizing Google Pub/Sub , ensuring event lineage, schema validation, message integrity, and processing accuracy. * Validate graph databases and relationship-driven authorization models; experience with Neo4j is highly desirable. * Produce audit and regulatory evidence to support governance, compliance, and security requirements. * Create and maintain CI/CD testing pipelines using Jenkins , enabling automated execution, reporting, and quality gates. * Track, triage, and drive defect resolution using tools such as JIRA and Zephyr . AI \& Intelligent Systems Testing * Validate AI/ML and Generative AI solutions for functionality, accuracy, reliability, security, and performance. * Design automated test scenarios for AI-powered applications, recommendation engines, chatbots, intelligent workflows, and LLM integrations. * Perform prompt testing, response validation, hallucination detection, and guardrail testing for Generative AI applications. * Validate AI model outputs against business rules, quality benchmarks, and risk controls. * Test data pipelines supporting AI/ML workloads, ensuring data quality, completeness, lineage, and transformation accuracy. * Collaborate with Data Science and AI Engineering teams to establish testing strategies for machine learning models and AI services. * Monitor and validate AI model performance, drift detection mechanisms, explainability features, and bias testing processes. * Support testing and integration of AI services hosted on cloud platforms including GCP Vertex AI and other enterprise AI ecosystems. Required Skills \& Experience Core Technical Skills * 5+ years of experience in Quality Engineering and Test Automation. * Strong programming experience in Python and automation frameworks such as PyTest . * Hands-on experience with API testing tools and frameworks (Postman, Rest Assured, Swagger/OpenAPI). * Strong understanding of IAM concepts, Identity Governance, Authentication, Authorization, and Access Management. * Experience with cloud platforms, preferably Google Cloud Platform (GCP) . * Experience testing event-driven architectures and messaging systems such as Google Pub/Sub. * Strong understanding of CI/CD pipelines using Jenkins or equivalent tools. * Experience with defect and test management tools such as JIRA and Zephyr. * Knowledge of graph databases, preferably Neo4j. AI Testing Skills * Experience validating AI/ML or Generative AI applications in enterprise environments. * Understanding of Large Language Models (LLMs), prompt engineering, and AI quality evaluation techniques. * Experience with AI-assisted testing tools and intelligent test automation frameworks. * Familiarity with AI model lifecycle, training data validation, model performance evaluation, and drift monitoring. * Exposure to Vertex AI, OpenAI, Azure AI, or similar AI platforms is preferred. * Understanding of responsible AI practices, bias testing, explainability, and AI governance frameworks. Preferred Qualifications * Experience in Cloud Security, IAM, Identity Governance, or Zero Trust Security environments. * Exposure to SailPoint, Okta, ForgeRock, Ping Identity, Entra ID (Azure AD), or similar IAM platforms. * Knowledge of DevSecOps and Security Testing principles. * Relevant certifications in GCP, Security, Automation Testing, AI/ML, or Cloud Technologies. * Experience working within Agile/Scrum environments. Key Competencies * Quality-first and automation-first mindset * Strong analytical and problem-solving skills * Excellent stakeholder communication * Ability to work in cross-functional cloud and AI teams * Strong ownership and accountability * Continuous learning mindset with interest in emerging AI technologies and cloud security practices