The client supports farmers by providing real-time, actionable insights to help them effectively manage their herds. It also offers pet owners smart devices and data-driven solutions to better understand their pets’ activity and health needs, enhancing the bond between people and their animals. In addition, the client works with conservationists to help protect natural environments and wildlife.
With decades of experience in technological research and development across multiple markets, technologies, and species, the company continuously develops innovative solutions focused on animal health and well-being. By leveraging advanced technologies and strong quality assurance practices, the client remains at the forefront of animal healthcare, pet technology, and wildlife preservation.
As a Python Automation QA, you will
— Design and implement QA test automation infrastructure and test scenarios for client—web—backend systems, including communication between front-end applications, APIs, backend services, and databases. — Develop and execute end-to-end (E2E) automated tests for web applications and APIs, validating new features and ensuring system stability across services. — Develop and maintain automation frameworks, test utilities, and internal testing tools using Python. — Collaborate with development and QA teams to ensure high test coverage, automation stability, and scalable test infrastructure. — Learn and adopt new technologies, tools, and monitoring platforms in a relatively short amount of time (e.g., Datadog, Logz.io, or similar platforms).
Requirements — Bachelor’s degree in Computer Science, Engineering, or another exact science field. — 5+ years of experience as a Python developer or automation developer, preferably in a Linux environment. — Experience working with automation frameworks such as Pytest, Robot Framework, or Cucumber. — At least 2 years of experience working with Selenium, demonstrating proficiency in automating browser-based applications. — Strong experience with REST API automation testing and a deep understanding of REST API principles. — Familiarity with web technologies including HTTP, REST, HTML, JavaScript, and APIs. — Good understanding of SQL databases such as MySQL, MSSQL, or similar relational databases. — Experience working with source control systems such as Git, TFS, or similar tools. — Experience working in cloud environments such as AWS, GCP, or Azure. — Advanced English (written and spoken).
Advantage — Experience developing automation infrastructure or internal testing frameworks. — Experience working within a Linux environment with scripting skills (Bash/Shell). — Experience building or working with CI/CD pipelines and understanding the automation development lifecycle (Jenkins, GitHub Actions, Azure DevOps, or similar platforms). — Experience working with monitoring and visualization tools such as Datadog, Logz.io, or Tableau. — Experience with mobile automation testing and familiarity with Appium. — Experience working with containerized environments such as Docker. — Experience designing scalable automation frameworks for web and API testing. — Experience building AI agents that interact with test infrastructure — high advantage. — Experience integrating LLMs with CI/CD pipelines to review automated test results, generate test execution reports, and suggest potential fixes or root-cause insights for failed tests — high advantage. — Experience using AI for test and UI analysis, including screenshot analysis, accessibility tree analysis, and log analysis — high advantage. — Familiarity with AI APIs or platforms (e.g., OpenAI, AWS Bedrock, Anthropic, or similar LLM services) to support QA automation workflows.
About us
Grid Dynamics is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
