4 Sele Jobs

Strong Test Automation experience using TOSCA with CI/CD integration. Skilled in Selenium, Python, and building automation frameworks from scratch. Proven ability to collaborate across cross-functional teams and work in Agile environments.

Job Title: SSE - Quality Assurance Location: Udaipur Experience Required: 4-6 years About Us: Kadel Labs is a deep-tech IT services company dedicated to transforming businesses with cutting-edge solutions. Our expertise spans Data Analytics, Engineering, and Visualization; Cloud services including DevOps, InfoSecOps, and InfraOps; Software development and modernization; and Generative AI-driven business applications. As a trusted partner of DataBricks, Azure, AWS, WebMethods, and Bitrix24 CRM, we empower businesses with innovative, reliable, and scalable technology solutions Job Summary: We are looking for a skilled and detail-oriented Quality Assurance Engineer to join our growing team. The QA Engineer will be responsible for ensuring the quality and functionality of software applications through manual and automated testing processes. You will collaborate closely with developers, product managers, and DevOps teams to deliver robust, high-performance software solutions. Key Responsibilities: Design, develop, and execute comprehensive test plans and test cases based on project requirements. Perform manual and automated testing of web and mobile applications to ensure they meet functional and non-functional requirements. Identify, document, and track defects, and work closely with development teams for timely resolution. Develop and maintain automated test scripts using tools such as Selenium, TestNG, or similar frameworks. Conduct regression, performance, security, and usability testing as needed. Collaborate with cross-functional teams to ensure quality is integrated throughout the development lifecycle. Participate in sprint planning, daily stand-ups, and retrospectives within Agile/Scrum methodologies. Contribute to the continuous improvement of QA processes and best practices. Maintain clear and detailed documentation of test procedures, results, and QA metrics. Technical Skills: Minimum of 4 years of experience in software quality assurance or software testing. Experience in writing clear, concise, and comprehensive test plans and test cases. Strong hands-on experience with automation tools, particularly Selenium, Cypress, and Playwright. Proficient in designing and maintaining robust test automation frameworks. Proficient in API testing using Postman and REST Assured, focusing on validating RESTful services and automating key API workflows. Proficient in performance testing with JMeter or Locust, including designing load tests and analyzing system performance under stress. Familiarity with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps. Solid understanding of Agile development practices and SDLC. Exposure to cloud platforms (AWS, Azure) and testing applications in cloud environments is preferred. Education: An Engineering degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.

Key Responsibilities • Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms. • Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization. • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics. • Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts. • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.). • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted. • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability. • Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices. Required Skills • Proficiency in Java, Python, Node.js, or similar scripting languages. • Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom solutions using React/D3.js). • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool. Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium). Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Familiarity with databases (SQL, NoSQL) and working with test data at scale. Experience in building REST APIs or microservices for internal use. Nice to Have Experience with GenAI or LLM integration for test case generation or failure analysis. Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases. Exposure to containerization (Docker/K8s) and cloud platforms (AWS/GCP/Azure). Understanding of observability tools like Prometheus or ELK stack. Knowledge of software telemetry, test coverage reporting, and static/dynamic code analysis tools.

Key Responsibilities • Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms. • Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization. • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics. • Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts. • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.). • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted. • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability. • Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices. Required Skills • Proficiency in Java, Python, Node.js, or similar scripting languages. • Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom solutions using React/D3.js). • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool. Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium). • Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Familiarity with databases (SQL, NoSQL) and working with test data at scale. Experience in building REST APIs or microservices for internal use. Nice to Have Experience with GenAI or LLM integration for test case generation or failure analysis. Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases. Exposure to containerization (Docker/K8s) and cloud platforms (AWS/GCP/Azure). • Understanding of observability tools like Prometheus or ELK stack. Knowledge of software telemetry, test coverage reporting, and static/dynamic code analysis tools.