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I applications, including prompt/response validation, grounding, safety, consistency and non-deterministic outputs.
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Validate AI Agents and agent workflows, including tool calling, orchestration, memory, failure handling and multi-step task completion.
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Use quality metrics, defects, logs and observability signals to identify risks, improve coverage and support incident investigation.
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Mentor engineers, review automation code and contribute standards, reusable accelerators and Quality Engineering communities of practice.
Mandatory skills and experience
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Capability |
Required experience |
|
UI automation |
Strong hands-on automation using Playwright, Cypress or Selenium, including framework design, maintainability and parallel execution. |
|
API automation |
RestAssured or an equivalent code-based API framework; practical use of Postman or Bruno for REST API validation. |
|
Programming |
Strong Java, JavaScript, TypeScript or Python skills and the ability to write clean, reusable automation code. |
|
Quality engineering |
Functional, integration, regression and end-to-end testing, with risk-based planning and shift-left practices. |
|
CI/CD |
Experience integrating automated tests, quality gates and results into Jenkins, Harness, GitHub Actions or equivalent pipelines. |
|
AI testing |
Hands-on experience testing AI or Generative AI applications, including evaluation of variable outputs and response quality. |
|
AI Agents |
Experience or strong knowledge of testing agent workflows, tool invocation, orchestration, memory and error handling. |
|
Collaboration |
Ability to work with Product, Engineering, DevOps and Architecture teams and communicate quality risks clearly. |
Other Experience
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BDD with Cucumber and Gherkin, plus contract testing and service virtualisation.
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RAG or LLM application testing, including retrieval relevance, hallucination, grounding and guardrail evaluation.
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Performance testing with k6 or JMeter and accessibility or security testing awareness.
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Docker, Kubernetes, GCP, Dynatrace and modern observability practices.
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Experience delivering customer-facing software in financial services or another regulated environment.
What success looks like
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Automation provides fast, reliable feedback across UI, API and integration layers.
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Quality controls are embedded throughout delivery rather than applied only at the end.
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AI and agent-based products are assessed with repeatable evidence covering functionality, reliability, safety and customer outcomes.
Automation Engineer in Manchester employer: Wipro Europe
As a leading employer in the cryptography sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values expertise in cutting-edge technologies like HSM platforms and PKI architecture. Located in a vibrant tech hub, we provide our team with unique advantages such as access to industry-leading projects and a supportive community that encourages professional development.
