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Job Requirements Job Description: Cloud QA Engineer (Data Engineering) Role Summary We are looking for an experienced Cloud QA Engineer to ensure the quality, reliability, and performance of an enterprise-scale data platform. The role involves validating cloud-native applications, data pipelines, semantic services, web interfaces, APIs, and search capabilities across multiple enterprise systems. The engineer will work closely with architects, developers, and business stakeholders to define test strategies, automate testing, and ensure high-quality solution delivery. Key Responsibilities Develop and execute functional, integration, system, regression, and end-to-end test cases. Validate data ingestion pipelines, data transformations, metadata, semantic models, and data quality across multiple enterprise data sources. Test Web UI, REST APIs, GraphQL services, and streaming interfaces. Validate semantic search, keyword search, Natural Language Search, and data retrieval capabilities. Perform API, database, and data validation using appropriate testing tools. Develop and maintain automated test suites for functional and regression testing. Execute performance, scalability, reliability, and security testing for cloud-native applications. Collaborate with Data Engineers, Cloud Engineers, Architects, and developers to identify and resolve defects. Track defects, verify fixes, and support release validation activities. Contribute to test planning, documentation, and continuous improvement initiatives. Required Skills Strong experience in Functional, Integration, System, Regression, API, and Database Testing. Experience testing cloud-native applications on AWS. Experience validating ETL/ELT pipelines, data quality, and data transformations. Experience testing REST APIs using Postman, Swagger, or similar tools. Good understanding of database validation techniques. Experience with test automation frameworks such as Playwright, Selenium, or equivalent. Familiarity with Snowflake, data warehouses, and cloud data platforms. Knowledge of validating CI/CD pipelines and DevOps practices. Experience with defect tracking and test management tools such as JIRA. Preferred Skills Experience testing Data Engineering, Data Analytics, or Data Marketplace platforms. Understanding of Semantic Layers, Knowledge Graphs, Metadata Management, and Data Governance concepts. Familiarity with GraphQL, OpenSearch, Kafka/MQ, and cloud storage services. Experience with performance testing tools such as JMeter. Exposure to AI-enabled search or Retrieval-Augmented Generation (RAG) based applications from a testing perspective. Work Experience Cloud Testing, API and DB Testing, Automation Testing, CI/CD Pipeline Testing .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.