Senior QA Automation Engineer

WHAT YOULL DO 

We are seeking a highly skilled Senior QA Automation Engineer to accelerate our test automation journey and improve overall product quality. This role focuses on designing and implementing solutions using modern QA automation development frameworks. You will create and maintain automation for both functional and API testing ensuring the accuracy and reliability of our data-driven solutions. 

In this role youll ensure our solutions are reliable and scalable by driving QA processes. Youll move the team beyond manual testing by introducing automation best practices exploring AI-assisted testing and setting up frameworks that improve speed coverage and efficiency. 

At H&M one of our core principles is We are One Team. You will be part of a global team working alongside colleagues in Bangalore and Sweden. 

 Key Responsibilities 

• Design build and maintain automated test scripts using Robot Framework (primary) with Python. 

• Develop additional automation solutions using Playwright and Selenium for UI and cross-browser testing. 

• Define and implement QA automation processes transforming a primarily manual testing team into a structured automation-first QA practice. Documenting test processes in Qmetry.  

• Collaborate with developers data engineers and product managers to ensure comprehensive test coverage for real-time dashboards and data sources. 

• Integrate automated testing into CI/CD pipelines for faster higher-quality releases. 

• Work with test management tools such as Jira QMetry or similar for test case management reporting and defect tracking. 

• Mentor and guide team members in adopting automation practices and modern QA tools. 

• Document frameworks test strategies and QA processes to build a sustainable knowledge base. 

• Participate in Agile ceremonies sprint planning and retrospectives to align QA with development goals. 

WHO YOULL WORK WITH 

BOX Store performance app is a modern digital solution for store managers at H&M providing a simpler faster and more secure application to monitor and analyse store performance. Designed and developed in-house BOX delivers a tailored and intuitive experience for our stores. The team also works on other key product solutions such as Store Locator and Time & Attendance being developed by a dedicated group of engineers business experts and product manager. 

 As part of the team youll contribute to a modern data-driven product suite where test reliability is critical for operational excellence. The product solutions you validate handle large volumes of data and support real-time decision-making across our stores and our customers. 

 We value continuous improvement strong testing practices and a shared commitment to H&Ms success and were looking for someone who shares these values.

WHO YOU ARE 

We are looking for people with: 

• Bachelors degree in computer science Engineering or related field. 

• 5 years of experience in QA automation across functional and API testing. 

• Hands-on expertise in Robot Framework with Python. 

• Experience with Playwright and Selenium for UI and cross-browser testing. 

• Practical exposure to AI in test automation (e.g. using GenAI/LLMs or agentic AI for test case design test script optimization or self-healing tests). 

• Strong experience in API testing and data validation. 

• Ability to establish automation frameworks and best practices from scratch. 

• Familiarity with CI/CD pipelines Git and tools like Jenkins/GitHub Actions. 

• Strong problem-solving analytical and troubleshooting skills. 

• Effective communication and teamwork abilities. 

Additional Skills 

• Prior experience helping teams transition from manual testing to automation. 

• Knowledge of cloud platforms (Azure AWS GCP) for test environments. 

• Experience with AI-powered QA platforms (e.g. Testim Mabl or custom AI copilots). 

• Familiarity with Docker containers and test environment setup. 

And people who are: 

• Passionate about QA automation and building robust scalable test solutions. 

• Excited about applying AI and new technologies in the QA space. 

• Open to learning and adapting to evolving tools and processes. 

• Team players with strong collaboration and communication skills. 

WHO WE ARE 

H&M is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design affordable prices and sustainable solutions. We want to liberate fashion for the many and our customers are at the heart of every decision we make. 

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together we want to use our power our scale and our knowledge to push the fashion industry towards a more inclusive and sustainable future. 

WHY YOULL LOVE WORKING HERE 

At H&M we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. 

We offer all our employees at H&M attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card usable on all our H&M brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included) COS Weekday Monki H&M HOME & Other Stories ARKET addition to our staff discount all our employees are included in our H&M Incentive Program HIP. 

In addition to our global benefits all our local markets offer different competitive perks and benefits. Please note that they may differ between employment types and countries. 

JOIN US

Our uniqueness comes from a combination of many things our inclusive and collaborative culture our strong values and opportunities for growth. But most of all its our people who make us who we are.

Take the next step in your career together with us. The journey starts here.

*We are committed to a recruitment process that is fair equitable and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Remote Work :

No

Employment Type :

Full-time