Lead Software Test Automation Engineer | Test...

Wolters Kluwer
Kennesaw, GA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$89,600.0 - $157,000.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Unit Testing Microsoft Azure C Sharp (Programming Language) Code Coverage Software Quality Computer Programming
+24 more
Continuous Integration Github Intrusion Detection Systems Python (Programming Language) Microsoft UI Automation Selenium Service Virtualization Test Data Test Execution Engine Strategies of Testing TypeScript Performance Testing Postman Large Language Models Model Validation Cypress (Programming Language) ReadyAPI Pytest Playwright Data Management Virtual Agents Software Coding Api Management Jenkins

Job description

We are seeking a** Lead Test Automation Architect to define and lead an enterprise-grade test automation strategy across UI, API, data, and platform layers-while evolving our quality engineering capabilities to support Agentic AI / LLM-based systems **(probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs., Automation Strategy & Architecture

Define and own the** test automation architecture and multi-layer strategy **(UI/API/contract/integration/e2e), aligned to product risk and release cadence.

Establish automation** standards, patterns, and reference implementations **(framework structure, page-object/screenplay usage, test data patterns, reporting).

Drive** shift-left testing **practices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.

Agentic AI / LLM Test Model Alignment

Design and implement testing approaches for** non-deterministic AI outputs **, including:

confidence/threshold-based assertions

semantic similarity checks and rubric-based validation

goldens/benchmark datasets and evaluation harnesses

hallucination and groundedness testing strategies

regression detection across model/prompt/version changes

Define AI test coverage across** accuracy, robustness, bias/safety (as applicable), performance, and reliability **.

Partner with ML/AI, Product, and Engineering to establish** acceptance criteria **for AI capabilities and measurable quality gates.

High-Productivity Automation Programs

Build and scale** high-throughput automation projects **that are reliable, fast, and easy to extend.

Improve** test execution time **, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).

Create actionable, engineering-friendly** quality dashboards **(pass/fail trends, flake rate, coverage, defect escape metrics).

Tooling, CI/CD, and Quality Gates

Integrate automation into CI/CD with** quality gates **(PR checks, nightly suites, release readiness criteria).

Standardize** observability for testing **: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.

Define practices for** test environments **, data management, service virtualization, and dependency control.

Technical Leadership & Mentorship

Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.

Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.

Influence roadmap and delivery by translating risk into clear testing priorities.

Requirements

8-12+ years** in Quality Engineering / Test Automation with architect-level ownership **of frameworks and strategy.

Proven experience designing scalable automation across:

API testing** **(contract + integration)

UI automation** **with stable locator strategies (test IDs, accessibility roles)

Test data** **strategy and environment reliability

Strong programming skills in at least one modern language (e.g.,** Java, Python, TypeScript/JavaScript, C# **).

Expertise with automation tools/frameworks (examples):

UI: Playwright / Cypress / Selenium

API: REST-assured / SuperTest / Postman/Newman / pytest

CI: GitHub Actions / Jenkins / Azure DevOps

Demonstrated ability to reduce flakiness and improve execution speed through** engineering solutions **.

Preferred Qualifications (Strongly Desired)

Experience testing** LLM/Agentic AI **features or other probabilistic systems, including:

evaluation harnesses, benchmark datasets, semantic scoring, and drift detection

prompt/version regression strategies and structured evaluation reports

Familiarity with modern quality approaches:** test pyramid , contract testing , consumer-driven contracts , risk-based testing , shift-left **.

Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).

Experience building reusable automation libraries for multiple teams/products.

Benefits & conditions

$89,600.00 - $157,000.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

About the company

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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