Manual QA Engineer

About Client:

Driivz, part of the Vontier group, is a global leader in EV charging and energy management solutions, supporting charge point operators and mobility service providers. Its scalable, end-to-end platform helps clients efficiently manage charging networks while delivering a seamless experience to EV drivers. With operations in over 30 countries and trusted by major brands like Shell, Volvo Group, and EVgo, Driivz powers millions of charging events and manages over 100,000 public chargers worldwide.

As an Manual QA Engineer, you will play a vital role in verifying the functionality, stability, and performance of our industry-leading electric vehicle charging platform. This is your chance to contribute to the future of sustainable mobility and work with a product that’s shaping the global EV ecosystem.

Responsibilities:

• Design, execute, and maintain comprehensive end-to-end (E2E) test cases for web and mobile applications—including both new features and existing product customizations.
• Perform white-box and black-box testing across client, server, and integration layers.
• Review product requirements and specifications to define clear, testable criteria.
• Collaborate closely with developers, product managers, and DevOps teams to ensure smooth and high-quality releases.
• Proactively identify potential risks, report bugs, and recommend improvements to enhance product reliability and performance.
• Stay up to date with industry trends, QA tools, and best practices to continuously improve testing efficiency and coverage.

Requirements:

• 3+ years of hands-on QA experience testing complex, large-scale software systems.
• Solid experience with both client-side (UI) and server-side (API/backend) testing.
• Proficiency in validating RESTful APIs using tools like

  Postman

  ,

  Swagger

  , or equivalent.
• Experience working with browser developer tools (Console, Network tabs).
• Ability to analyze logs across different environments and systems to identify and isolate issues.
• Experience working with various databases (e.g., SQL, NoSQL) for test validation and investigation.
• Excellent analytical and problem-solving capabilities with a passion for getting to the root cause.
• Strong communication skills in English (both written and verbal).
• Highly self-motivated, organized, and responsible, with the ability to work independently and in teams.

Nice-to-Have Skills (Bonus Points)

• Experience in Linux/Unix-based environments.
• Familiarity with cloud platforms such as

  AWS

  ,

  GCP

  , or

  Azure

  .
• Understanding of

  Tomcat

  ,

  Spring

  , and

  Spring Boot

  frameworks.
• Exposure to

  AI-based testing tools or AI-assisted QA workflows

  .
• Experience using automated data analysis or anomaly detection tools.