Sr Automation Tester | AI-Assisted Testing & Implementation

Reizend It Consultants; Thiruvananthapuram; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Reizend It Consultants is seeking a Senior Automation Test Engineer to design and implement testing practices that blend automation with AI-powered tools. The role involves hands-on automation development and defining test strategies, standards, and workflows across projects.

The position includes on-site work with project and client teams, with remote options as part of the role. You will read organizational contexts to tailor testing approaches, ensuring adoption and alignment with delivery

Qualifications

• 3–6 years hands-on automation testing across web, mobile, API, and integration testing.

Responsibilities

• Design test strategy templates, standards and AI usage guidelines for testers and engineers.
• Evaluate AI-powered testing tools and frameworks and recommend for projects.
• Determine AI tool usage in testing workflow and identify manual review needs.
• Roll out automation practices with engineering teams and clients as needed.

Skills

Automation testing

Playwright

Selenium

Cypress

Appium

CI/CD

AI testing

Test design

Git workflows

English comms

Tools

Playwright

Selenium

Cypress

Appium

Job description

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.