# Lead Software Test Automation Engineer at Wolters Kluwer

Wolters Kluwer is hiring a Lead Software Test Automation Engineer. It pays $90k-$157k a year and Level rates it Little AI ●○○○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/61c04352-1c3b-4942-a09e-6f4694369305?utm_medium=ai-agent).

AI Level 1, AI centrality 11 out of 100. USA - Coppell, TX.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 1 (score 11 out of 100)
- Location: USA - Coppell, TX
- Salary: $90k-$157k
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/61c04352-1c3b-4942-a09e-6f4694369305?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-software-test-automation-engineer-at-wolters-kluwer-98e5d6

## Description

We are seeking a Lead Software Test Automation Engineer to define and lead an enterprise-grade test automation strategy across UI, API, data, integration, and platform layers while evolving our quality engineering capabilities for AI and agentic systems. This role will design and scale automation frameworks, establish measurable quality gates for deterministic and non-deterministic product behavior, and drive reliable, maintainable automation that accelerates delivery. The engineer will define validation approaches for probabilistic AI outcomes, including evaluation datasets, threshold- and rubric-based validation, groundedness, regression detection, robustness, performance, and reliability, while embedding automation into CI/CD and production-quality practices. Essential Duties and responsibilities Define and own the test automation technical design and risk-based, multi-layer strategy across UI, API, contract, component, integration, end-to-end, data, and platform testing. Establish automation standards, patterns, and reference implementations covering framework structure, coding practices, reusable components, test data, diagnostics, reporting, and maintainability. Drive shift-left quality practices through component, contract, API, and pre-merge validation, reducing unnecessary reliance on slow or fragile end-to-end tests. Design and implement validation approaches for non-deterministic AI and agentic outcomes, including confidence- and threshold-based assertions, semantic and rubric-based evaluation, benchmark datasets, evaluation harnesses, groundedness testing, and regression detection across model, prompt, context, and agent changes. Define AI quality coverage and measurable acceptance criteria across accuracy, robustness, groundedness, safety where applicable, performance, reliability, and cost-aware execution in partnership with AI Engineering, Product, and Software Engineering. Build and scale high-throughput automation suites that are reliable, fast, diagnosable, and easy to extend across products and delivery teams. Improve automation execution time and stability through parallelization, intelligent test selection, dependency control, deterministic test data, and disciplined retry strategies. Integrate automated validation into CI/CD with appropriate pull-request checks, scheduled suites, deployment gates, and release-readiness criteria. Standardize test observability, including logs, traces, screenshots or video where appropriate, artifacts, failure diagnostics, and actionable quality dashboards covering execution health, flakiness, coverage, and escaped defects. Define effective practices for test environments, test data management, service virtualization, external dependency control, and repeatable environment setup. Serve as the technical authority for software test automation; lead design and code reviews, coach engineers on automation design and code quality, and establish maintainable engineering standards. Influence product and engineering roadmaps by translating customer, technical, operational, and delivery risks into clear validation priorities and quality investments. Partner with Product, Software Engineering, AI Engineering, Security, DevOps, and Operations to ensure functional and nonfunctional quality is engineered throughout the product lifecycle. Use production telemetry, incidents, customer issues, and defect escape patterns to continuously improve automated coverage and prevent recurrence. Job Qualifications Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience. Master’s degree in a relevant technical or business discipline is preferred. Required Experience / Skills: 8+ years of software quality engineering or test automation experience, including significant ownership of automation frameworks, technical design, and strategy for complex commercial software. Hands-on experience designing and building

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Source: https://jobsbylevel.com/jobs/lead-software-test-automation-engineer-at-wolters-kluwer-98e5d6

## Cite this page

Level. https://jobsbylevel.com/jobs/lead-software-test-automation-engineer-at-wolters-kluwer-98e5d6.

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