Staff Engineer, Solutions Test - Cloud

This position is based in Nanjing, China. We are seeking a staff engineer - solutions test based in Nanjing, China. Our team validates Calix Marketing Cloud which is an AWS/GCP based big data system. The successful candidate will contribute to test and validate Calix Marketing Cloud products as well as some AWS/GCP infrastructure test. Responsibilities and Duties: Work on the solution-oriented testing against Calix Cloud products, including Marketing Cloud and Operations Cloud. Author test plans, develop persona-based test cases; set up solutions test bed, execute test cases, report test results, and be in charge of documentation. Augment and enhance test cases to closely reflect customers’ network deployment and operations. Identify and report software issues, track the progress of bug tickets. Perform daily system monitoring, verify the integrity and availability of all hardware, server resources, systems, and key processes, review system and application logs, and verify completion of scheduled jobs. Reproduce onsite issues and assist development teams to diagnose the issues. Demonstrate new features and products to cross-functional teams. Required Qualifications: Bachelor’s degree or above in Computer Science, Computer Engineering, Communication Engineering, or similar. 12+ years’ experience in software test environment, and strong test theory knowledge. Experience in cloud-based big data projects (preferably in either AWS, GCP, or Azure). Working experience with the cloud-based data warehouse like (Greenplum, RedShift, Azure SQL Data Warehouse, etc.). Experience in two of these domains: Data analysis products, BI systems, or data mining products. AWS/GCP-based DevOps, test, and solution design. Cloud-Native product testing, and good troubleshooting/debugging skills through Cloud API and Linux tools, such as ELK stack tools, front-end tools (fiddler, Charles...) Telecommunications OSS (Operations Support System) or network element management system test experience. Working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale. Experience in data streaming and event-based data solutions (Kafka, Kinesis, or like). Experience building data pipelines (Flink, Spark or like). Ability to analytically break down complex problems and articulate defects with details. Strong verbal and written English skills. Self-motivated, process oriented, and detail oriented. Preferred Qualifications: Proficiency in coding with scripting and programming languages, including Bash, Python, GoLang, while having the ability of selecting the proper language as tool to solve a certain problem. Strong knowledge of smart home deployment and user cases. Solid understanding of system architecture and large-scale service or computational platform operations Machine Learning experience is a strong plus Pre-sales experiences to some extent. Experience in building pipelines to ingest terabytes of data spanning billions of rows. Hands-on experience with test instruments or tools: Spirent Testcenter/Ixia Network. Location: Nanjing, China