Sr Automation Tester | AI-Assisted Testing & Implementation

We are looking for a Senior Automation Test Engineer to design and implement testing practices that combine automation frameworks with AI-powered testing tools, and to roll them out directly with engineering teams. The role covers hands-on automation development, along with defining the test strategies, standards, and workflows that keep AI-assisted testing consistent and effective across projects.

The role includes on-site work with project and client teams as a regular part of the job, in addition to remote work. Beyond building automation, the position involves understanding why a testing practice may not be landing with a particular team and adjusting the approach - which requires reading organizational context, not just technical systems.

Key Responsibilities:

Design the Testing Practice

• Define test strategy templates, automation standards, and AI-usage guidelines that other testers and engineers can follow.
• Evaluate AI-powered testing tools and frameworks and recommend which to adopt for a given project or team.
• Determine where AI tools are used in the testing workflow (test generation, automation, defect analysis, reporting) and where manual review is required.

Build & Implement Automation

• Design, build, and maintain automation frameworks and scripts for web, mobile, API, and integration testing.
• Integrate automated testing into CI/CD pipelines, including automated quality gates and release validation.
• Roll out testing practices directly with engineering teams and, where required, at client locations - supporting adoption on the ground, not only remotely.

Improve Through Feedback

• Identify why a testing approach or automation practice isn't being adopted by a team, and adjust it based on the root cause rather than assumption.
• Capture what works and what doesn't from each rollout and feed it back into shared standards and frameworks.
• Coordinate with development and deployment teams to ensure testing connects smoothly with what comes before and after it in the delivery pipeline.

Required Skills:

Automation & Quality Engineering

• 3-6 years of hands-on experience in automation testing and quality engineering, across web, mobile, API, and integration testing.
• Strong hands-on experience with automation frameworks such as Playwright, Selenium, Cypress, Appium, or similar.
• Experience designing, building, and maintaining scalable automation frameworks, not just individual test scripts.
• Strong understanding of testing methodologies, test design techniques, and quality assurance best practices.
• Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Strong understanding of release validation, deployment testing, smoke testing, and quality gates.
• Strong understanding of Git and collaborative development workflows.

AI Tools & Usage

• Hands-on, daily experience using AI-powered testing tools and assistants for test generation, automation development, defect analysis, and reporting.
• Working knowledge of more than one AI tool or model, and the judgment to choose the right one for a given task.
• Experience evaluating new or emerging AI testing tools and recommending which to adopt.
• Ability to write clear, effective prompts and instructions to get accurate, usable output from AI tools, and to catch and correct AI mistakes.
• A genuine, active interest in keeping up with new AI tools, models, and techniques as they evolve.

Communication

• Strong written and spoken communication skills in English
• Strong interpretation skills: the ability to read organizational and stakeholder context, understand why a process or practice isn't working, and not treat every implementation issue as a technical one.
• Ability to clearly explain testing strategy, findings, and AI-adoption recommendations to both technical and non-technical stakeholders, including in client-facing settings.