senior qa automation engineer

Softcat

<div>Would you like to kick start your career in a supportive, collaborative and innovative company?
Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? 


Join our Internal Technology Team

IT systems play a pivotal role in Softcat's success. As our business grows and evolves it is essential, we have a set of reliable, scalable yet flexible systems. The Business Systems Team are responsible for the design, delivery, and management of these key business applications. In support we work in conjunction with an ever-increasing number of Vendors, Partners, and Softcat Stakeholders. 


About the Role

As a Senior QA Automation Engineer, you will provide technical leadership in building and evolving a scalable, reliable test automation capability. You will take ownership of automation strategy, frameworks, and quality practices across the delivery lifecycle, working closely with developers, DevOps, and product teams to embed quality from design through to production. 


You will be expected to influence engineering standards, mentor others, and ensure automated testing delivers fast, meaningful feedback aligned to business risk. This role is suited to someone who is has solid experience of owning and driving automation quality at a system level
As Senior QA Automation Engineer, you'll be responsible for:
<ul>
<li>Own and evolve the automation framework and processes ensuring appropriate coverage across UI, API, integration, and regression layers</li>
<li>Design, build, and maintain robust automation frameworks from the ground up, focusing on reusability, maintainability, and performance</li>
<li>Act as a technical authority for test automation, setting standards, patterns, and best practices</li>
<li>Partner with developers to embed quality early, contributing to acceptance criteria, testability, and design discussions</li>
<li>Lead automation planning through risk-based analysis, ensuring effort is focused where it matters most</li></ul> 


We'd love you to have
<ul>
<li>Strong experience as a Senior Test Automation Engineer or equivalent role</li>
<li>Strong programming skills in languages like Python, C#, or JavaScript for creating test scripts</li>
<li>Proven experience designing, building and maintaining automation frameworks from the ground up</li>
<li>Thorough hands‑on knowledge of automation tools such as Selenium, Playwright, Cypress, Appium, and test runners/frameworks</li>
<li>Strong experience testing APIs and services using tools and libraries (e.g. REST clients, contract testing, Postman)</li></ul> 


We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply &ndash; we would love to hear from you! 


Work in a way that works for you

We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
<ul>
<li>Hybrid working</li>
<li>Working flexible hours - flexing the times you start and finish during the day</li>
<li>Flexibility around school pick up and drop offs</li></ul> 


Working with us

Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. 


Join us

To become part of the success story, please apply now.

If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/ 


Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.</div>

Senior QA Automation Engineer

Lytx

<div>Lytx is building a next-generation product platform combining a cloud-native AWS backend with embedded IoT hardware, including in-vehicle gateways and smart cameras.
We are looking for a skilled Senior QA Automation Engineer to join a newly formed QA team supporting Lytx&rsquo;s cloud and IoT product platform. This is a hands-on role focused on validating complex systems that span backend services, APIs, and in-vehicle hardware.
You will work closely with QA leadership, engineering, and product teams to ensure reliable, high-quality releases.
Key Responsibilities<ul><li>
Design and execute manual test cases based on functional and technical specifications.</li><li>
Develop and maintain automated test scripts using Python and/or Node.js.</li><li>
Contribute to test plans covering cloud services, APIs, and hardware integrations.</li><li>
Participate in system, integration, regression, and release testing.</li><li>
Investigate, document, and reproduce defects to support efficient resolution by engineering teams.</li><li>
Assist in test environment setup, configuration, and maintenance.</li><li>
Collaborate with developers and QA leadership to continuously improve test coverage and quality practices.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree (B.A. or B.Sc.) or equivalent experience.</li><li>
7 plus years experience with manual and automated software testing.</li><li>
Proficiency in Python and/or Node.js for test automation.</li><li>
Understanding of networking concepts (TCP/IP, HTTP, MQTT).</li><li>
Strong analytical skills and attention to detail.</li><li>
Experience leverage AI to increase QA productivity</li><li>
Effective communication and collaboration skills.</li></ul>
Preferred Experience<ul><li>
Testing or integration of IoT devices or hardware products.</li><li>
Fleet management, automotive, or telematics platforms.</li><li>
AWS cloud services</li></ul>
Why Join Us<ul><li>
Hands-on role in a modern, evolving product ecosystem.</li><li>
Opportunity to grow technical and automation expertise.</li><li>
Collaborative, on-site team environment in San Diego.</li></ul>
Benefits:<ul><li>
Medical, dental and vision insurance</li><li>
Health Savings Account</li><li>
Flexible Spending Accounts</li><li>
Telehealth</li><li>
401(k) and 401(k) match</li><li>
Life and AD&amp;D insurance</li><li>
Short-Term and Long-Term Disability</li><li>
FTO or PTO</li><li>
Employee Well-Being program</li><li>
11 paid holidays plus 1 inclusive holiday per year</li><li>
Volunteer Time Off</li><li>
Employee Referral program</li><li>
Education Reimbursement Program</li><li>
Employee Recognition and Appreciation program</li><li>
Additional perk and voluntary benefit programs</li></ul>
Salary is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for an incentive compensation plan. The expected hiring salary for this position is:
$145,250.00 - $183,750.00
You&rsquo;re driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.
If you&rsquo;re looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we&rsquo;d love to meet you.
Together, we&rsquo;re helping make roadways safer and saving lives!
Lytx, Inc. is proud to be an equal opportunity employer. We&rsquo;re committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email TA@lytx.com. Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws.</div>

Intercontinental Exchange

<div>Job Description:

Job Purpose
As a vital member of the Technology Group, you will contribute significantly to the development and delivery of the ICE Digital Trade Platform (IDT) &mdash; a cloud-based system designed to digitize, automate, and streamline global trade and post-trade processes. This platform manages the full lifecycle of digital trade documents across various applications, including API services. 
In this role, you&rsquo;ll be responsible for ensuring the quality and reliability of the IDT platform through test automation, certification testing, client onboarding, production support, and effective communication with stakeholders. 
We&rsquo;re looking for a results-oriented, self-driven professional who thrives in a dynamic environment. You&rsquo;ll collaborate closely with project managers, developers, product teams, support staff, and external vendors. 
Demonstrates awareness of emerging AI-driven QA methodologies and proactively explores opportunities to integrate them into existing testing frameworks and workflows to enhance efficiency, coverage, and quality assurance outcomes. 
Responsibilities<ul><li>
Analyze business/system requirements and database schemas.</li><li>
Design, develop, and maintain automated test cases.</li><li>
Perform functional, integration, and regression testing (especially APIs).</li><li>
Write and execute SQL queries for data validation.</li><li>
Use CI/CD tools, version control (Git), and automation frameworks.</li><li>
Respond to client API queries and support onboarding.</li><li>
Log and track defects; coordinate client-side testing.</li><li>
Contribute to internal monitoring tools and scripting.</li><li>
Maintain awareness of environment changes and deploy applications.</li><li>
Collaborate with QA leads on complex testing strategies.</li><li>
Develop and deliver well written test plans and summaries</li><li>
Leverage AI coding assistants (e.g., Claude / Claude Code, GitHub Copilot) and agentic AI workflows to accelerate test authoring, maintenance, failure triage, and defect analysis, while reviewing AI-generated output for correctness and quality.</li></ul> 
Knowledge and Experience<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related field.</li><li>
5+ years in QA, with experience in test planning and automation.</li><li>
Strong knowledge of REST/SOAP APIs, JSON, XML.</li><li>
Proficient in tools like JIRA, Postman, ReadyAPI, or JMeter.</li><li>
Experience with SDLC, QA methodologies, and scripting (Python, etc.).</li><li>
Excellent communication and organizational skills.</li><li>
Experience with Git, Jenkins, ALM, and test automation frameworks.</li><li>
Ability to work in highly demanding, fast-paced environment</li><li>
Self-motivated, able to work and excel autonomously on job responsibilities.</li><li>
Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimize test automation and defect detection.</li><li>
Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub Copilot to generate, refactor, and maintain automated test code, with sound judgement on where AI assistance is and is not appropriate.</li><li>
Working knowledge of agentic AI concepts &mdash; autonomous, multi-step AI agents and prompt engineering &mdash; applied to QA tasks such as test generation, log and failure analysis, and exploratory testing.</li></ul> 
Nice to Have<ul><li>
JavaScript and Cypress for front-end testing.</li><li>
Hands on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times</li><li>
Experience designing or orchestrating agentic AI / multi-agent workflows (e.g., Claude Code subagents) for test automation, self-healing tests, or document/PDF validation.</li></ul></div>

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD99665<div><div>
Position Overview
Senior QA Automation Engineer &ndash; AI Applications UK</div><div> 
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.</div><div> 
Responsibilities</div><div><ul><li>
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features</li></ul></div><div><ul><li>
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage</li></ul></div><div><ul><li>
Create and maintain test harnesses for AI services, applications, and APIs</li></ul></div><div><ul><li>
Perform API testing for AI services and backend systems</li></ul></div><div><ul><li>
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features</li></ul></div><div><ul><li>
Test AI/ML applications and machine learning models from a product and user perspective</li></ul></div><div><ul><li>
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior</li></ul></div><div><ul><li>
Define structured rubrics that translate qualitative findings into measurable evaluation gates</li></ul></div><div><ul><li>
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing</li></ul></div><div><ul><li>
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications</li></ul></div><div><ul><li>
Contribute to multi-team projects and codebases, ensuring code quality and consistency</li></ul></div><div><ul><li>
Participate in code reviews and provide constructive feedback to peers</li></ul></div><div><ul><li>
Document and present findings and ideas across the company</li></ul></div><div> 
Minimum Qualifications</div></div><div><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience</li></ul></div><div><ul><li>
5+ years of professional experience in software quality assurance, test automation, or software engineering</li></ul></div><div><ul><li>
Strong programming skills in Python, with experience in test automation</li></ul></div><div><ul><li>
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality</li></ul></div><div><ul><li>
Experience with CI/CD tools and processes</li></ul></div><div><ul><li>
Familiarity with popular CAD environments and tooling</li></ul></div><div><ul><li>
Proficient in automation and UAT test suites/frameworks</li><li>
Experience designing QA frameworks or platforms used by multiple teams</li></ul></div><div><ul><li>
Excellent problem-solving skills and attention to detail</li></ul></div><div><ul><li>
Strong communication and collaboration skills</li></ul></div><div><ul><li>
Understanding of software architecture and design patterns</li></ul></div><div><ul><li>
Ability to work in an Agile development environment</li></ul></div><div>
Preferred Qualifications</div><div><ul><li>
Experience testing AI/ML applications or validating machine learning models</li></ul></div><div><ul><li>
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows</li></ul></div><div><ul><li>
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)</li></ul></div><div><ul><li>
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)</li></ul></div><div><ul><li>
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)</li></ul></div><div><ul><li>
Knowledge of ML evaluation methods, metrics, and benchmarking</li></ul></div><div><ul><li>
Passion for learning new technologies and improving existing systems</li></ul></div></div><div><div><ul><li>
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)</li></ul></div><div><ul><li>
Experience testing AI/ML services in production environments</li></ul></div><div><ul><li>
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights &amp; Biases)</li></ul></div><div>
The Ideal Candidate</div><div><ul><li>
You demonstrate initiative to provide solutions and to learn and develop new technologies</li></ul></div><div><ul><li>
Comfortable building QA systems from scratch and writing maintainable automation</li></ul></div><div><ul><li>
You enjoy learning and collaborating across global locations</li></ul></div><div><ul><li>
You are comfortable working in newly forming ambiguous areas</li></ul></div><div><ul><li>
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others</li></ul></div><div><ul><li>
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity</li></ul></div><div><ul><li>
You can communicate well with others</li></ul></div><div> 
 #LI-JK3</div></div> 
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. 
Belonging 
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).</div>

Senior QA Automation Engineer – AI Applications UK

Cognizant

About the role
 As a Senior QA Automation Engineer with AI & Playwright experience , you will make an impact by driving quality through advanced automation, modern testing practices, and emerging AI-driven solutions. You will be a valued member of the QA engineering team and work closely with developers, product owners, and DevOps teams to ensure scalable, high-quality software delivery.
 
In this role, you will: 
Develop and maintain automation scripts and scalable testing frameworks to improve test efficiency and coverage.
 Design and implement AI-driven solutions, including Generative AI agents, to enhance testing capabilities and productivity.
 Perform both automated and manual testing across web applications and service layers.
 Design test cases, execute test plans, and ensure comprehensive validation across functional and integration scenarios.
 Track and report testing progress, defects, and quality metrics to stakeholders in a timely manner.
 Work model
 We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Dearborn - MI USA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
 What you need to have to be considered
 7+ years of experience in IT Quality Assurance, with strong exposure to both manual and automation testing.
 Hands-on experience with modern automation tools such as Playwright
 Strong proficiency with test management tools such as Azure DevOps or JIRA .
 Experience with CI/CD pipelines and version control systems (e.g., GitHub, GitHub Actions, TeamCity).
 Proficiency in at least one programming language such as TypeScript or JavaScript
 Experience in web services testing , including REST and/or GraphQL APIs.
 Strong SQL skills for data validation and backend testing.
 Solid understanding of test design, execution, and reporting practices.
 These will help you stand out
 Experience using AI-assisted development tools such as GitHub Copilot or similar.
 Hands-on experience developing automation frameworks from scratch .
 Exposure to Generative AI use cases within testing or software engineering.
 Strong analytical mindset with attention to detail and problem-solving skills.
 Experience working in Agile environments with distributed teams.
 Salary and Other Compensation
 The annual salary for this position is between $53,477 to 92,500 depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits
 Medical/Dental/Vision/Life Insurance
 Paid holidays plus Paid Time Off
 401(k) plan and contributions
 Long-term/Short-term Disability
 Paid Parental Leave
 Employee Stock Purchase Plan
 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
 <ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>

Senior QA Automation Engineer with AI and Playwright experience

Wolters Kluwer

<div>As a Senior QA Automation Engineer (m/f/d), you'll be joining Libra to help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we're transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role 
We're looking for an exceptional QA Automation Engineer to join our fast-growing engineering team. You'll lead a small but high-leverage QA function on a team where every engineer owns the quality of their own work &mdash; and your job is to make that scale. 
You'll design and own the automated testing framework, the CI pipeline, and the AI-assisted tooling that lets the whole team ship with confidence. You'll write the complex, cross-cutting end-to-end tests yourself, and you'll multiply the impact of every feature engineer through the framework, patterns, and tooling you build for them. 
This is a high-ownership role at the intersection of testing, developer experience, and AI tooling &mdash; an unusually broad mandate for someone who wants to define how a fast-moving legal AI product stays trustworthy as it grows. 
You'll be part of a highly skilled technology organization and a fast-growing product organization. An ambitious and thrilling place to be as you'll be essential to both strategic alignment and local execution. You'll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you'll do<ul><li>
Own, evolve, and continuously improve the automated test framework that the entire engineering team builds on.</li><li>
Design and build the end-to-end and integration tests for our most complex, cross-cutting flows &mdash; the ones individual feature engineers shouldn't be writing alone.</li><li>
Pair with and coach engineers on test design for larger features &mdash; review their test plans, unblock them on tricky cases, raise the bar through example.</li><li>
Build out continuous testing in CI: modern pipelines with parallelism, fast feedback, and a trustworthy signal &mdash; including the quality gates that block merges and deployments.</li><li>
Lead the integration of AI-powered testing tools and background agents into the pipeline &mdash; for test generation, regression detection, flakiness triage, and self-healing suites.</li><li>
Establish testing patterns for non-deterministic features &mdash; LLM responses, RAG retrieval, async Celery pipelines, real-time SSE streams &mdash; that stay stable as models and prompts evolve.</li></ul> 
What you'll bring 
Education
Bachelor's degree preferred in Software Engineering or a related technical field. 
Experience<ul><li>
Minimum 5 years of relevant experience in software engineering, with substantial focus on test automation and CI infrastructure.</li><li>
Strong proficiency with Python (pytest, async) and TypeScript (Playwright or equivalent end-to-end framework).</li><li>
Deep CI/CD experience on a modern platform &mdash; GitHub Actions or similar &mdash; including parallelism, caching, matrix builds, and cost-aware pipeline design.</li><li>
Hands-on experience using AI coding agents like Cursor or Claude Code, and a clear point of view on how to apply them to testing workflows.</li><li>
Proven experience testing distributed, asynchronous, eventually-consistent systems with queues, external APIs, and real-time components.</li><li>
Bonus: You've built test infrastructure or evaluation harnesses for LLM-powered products.</li></ul> 
Skills<ul><li>
Developer-experience mindset &mdash; you optimize for the engineers who use your framework, not for your own preferences.</li><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. You know what *not* to automate, and you're willing to kill tests that aren't earning their keep.</li><li>
Communicates risk and quality in terms the business understands, not bug counts.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together 
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we've established ourselves as Europe's fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers. Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid<h2 class="jobSectionHeader">
Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior QA Automation Engineer (Libra - Legal AI Assistant) (m/f/d)

CodeNinja

<div>About the Company 
CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows. We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries. We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.
About the role
We are hiring an Senior AI QA Automation Engineer an experienced quality engineer who owns feature-level test strategy and automation for AI-enabled products. In this role, you will design and maintain automated tests and AI evaluation suites, integrate quality signals into CI/CD pipelines, and partner with Scrum teams to prevent defects and deliver reliable AI capabilities.
Key Responsibilities<ul><li>
Own test strategy and execution for assigned AI features across unit, API, UI, and end-to-end layers, aligned to Definition of Done and release criteria.
</li><li>Create and maintain automated AI evaluation suites (including golden datasets, scoring, and regression baselines) covering key user journeys and failure modes.
</li><li>Validate prompt, retrieval, and orchestration changes using repeatable test harnesses and defined acceptance thresholds.
</li><li>Build and extend automation frameworks, reusable utilities, and improve test stability, speed, and signal-to-noise.
</li><li>Integrate automated tests and AI evaluations into CI/CD, triage pipeline failures, and reduce flaky tests.
</li><li>Partner with engineers to improve testability (contracts, logging, observability) and drive shift-left quality practices.
</li><li>Analyze defects and AI output issues, perform root cause analysis, and implement regression coverage to prevent recurrence.
</li><li>Provide guidance to junior SDETs on automation, test design, and AI validation patterns; communicate quality risks to stakeholders.
</li><li>Support production readiness by validating guardrails, monitoring signals, and performance requirements for AI features.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science/Engineering (or equivalent practical experience).
</li><li>4+ years of experience in SDET / QA automation / quality engineering with strong hands-on automation and test design skills.
</li><li>Proficiency in at least one programming language (e.g., Python, C#, Java) and SQL, with the ability to debug services and tests.
</li><li>Experience building and maintaining automated tests (API/UI and/or data/ETL) and working in CI/CD pipelines.
</li><li>Experience testing AI-enabled systems or demonstrated applied AI fluency (prompt/RAG changes, evaluation basics, common failure modes).
</li><li>Experience working in Agile/Scrum teams and collaborating effectively with Engineering and Product.
</li><li>Preferred: Experience with LLM evaluation techniques (golden sets, rubric-based grading, automated scoring, review workflows).
</li><li>Preferred: Familiarity with AI safety and guardrail testing (grounding, PII handling, injection risks).
</li><li>Preferred: Experience with cloud tooling, containers, observability, and release automation.</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
</li><li>Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
</li><li>Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
</li><li>Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul>
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li><ul><li>
Provident Fund (PF)</li></ul></li><li><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li></ul></li><li><ul><li>
Performance-Based Increment</li></ul></li><li><ul><li>
32 Paid Leaves (Annual)</li></ul></li><li><ul><li>
Easy Loan Facility</li></ul></li><li><ul><li>
Company-Sponsored Trips</li></ul></li><li><ul><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></li></ul></div>

Senior AI QA Automation Engineer

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