QA Engineer
Weekday AI
リモート勤務
- 勤務地
- Remote (India)
- 掲載日
- 2026年10月15日
応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。
仕事内容
操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟱 𝗟𝗣𝗔)
Experience: 6+ yrs
Location: Remote (India)
We are looking for an experienced Senior QA Automation Engineer with strong expertise in API automation, backend validation, and test automation frameworks. The ideal candidate will have hands-on experience with the Karate API Automation Framework, GitHub Actions, CI/CD pipelines, and AWS, along with a solid understanding of manual and automated testing practices.
This role focuses on building reliable, reusable automation solutions, validating backend data, and ensuring the quality of complex system integrations, including IoT data flows. The successful candidate will collaborate with engineering and customer teams to deliver high-quality, scalable, and dependable software solutions.
Key Responsibilities
Design, develop, and maintain automated API test suites using the Karate API Automation Framework.
Perform both manual and automated testing to validate application functionality, reliability, and integration behaviour.
Build reusable automation scripts and common testing components to improve efficiency and maintainability.
Manage end-to-end automation across API and UI layers wherever required.
Integrate automated test suites with GitHub Actions and CI/CD pipelines to support continuous testing and reliable releases.
Execute API testing using tools such as Postman, Bruno, and Rest Assured.
Perform backend data validation across Amazon DynamoDB and Amazon Redshift to ensure data accuracy and consistency.
Write and execute SQL queries to validate data, investigate discrepancies, and support test analysis.
Validate system integrations, data exchanges, and IoT data flows across connected systems.
Collaborate with engineering, business, and customer teams to understand requirements and translate them into test scenarios.
Document test plans, test cases, automation scripts, defects, and execution results.
Identify, investigate, and report defects, perform root-cause analysis, and coordinate resolution with development teams.
Follow established Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)practices.
Support regression testing, integration testing, release validation, and continuous quality improvement.
Maintain test-management records and traceability using tools such as Xray, where applicable.
Contribute to improving test coverage, automation standards, and overall quality assurance practices.
What Makes You a Great Fit
6+ years of experience in quality assurance, software testing, and test automation.
Strong hands-on experience with the Karate API Automation Framework.
Proven experience in both manual testing and automation testing.
Strong understanding of API testing, REST services, HTTP methods, status codes, request/response validation, and authentication.
Practical experience with GitHub, GitHub Actions, and CI/CD automation workflows.
Working knowledge of AWS services, particularly DynamoDB and data-validation workflows involving Redshift.
Experience with SQL queries and backend data validation.
Familiarity with Postman, Bruno, or Rest Assured for API testing.
Understanding of end-to-end testing, integration testing, regression testing, and reusable automation design.
Experience validating system integrations and IoT-related data flows is highly desirable.
Familiarity with Xray Test Management is an advantage.
Strong understanding of SDLC, STLC, defect management, and quality assurance best practices.
Excellent analytical, troubleshooting, and problem-solving skills.
Strong communication and collaboration skills, with the ability to work effectively with distributed teams.
Ability to independently manage testing deliverables, prioritise tasks, and maintain high standards of quality and documentation.