Job Summary
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.