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